Based on the ANOVA table and the Parameter Estimates table does the regression appear to be significant? (0.05 Significance)
Homework Answers
From ANOVA table and the parameter estimates table we get, p-value = 0.0033 which is less than 0.05 significance.
(i.e. 0.0033 < 0.05)
Therefore, we can conclude that the regression appear to be significant.
Add Answer to:
Based on the ANOVA table and the Parameter Estimates table does
the regression appear to be...
Please answer asap, thanks! We collect the following data to study the operation of a plant for the oxidation of ammonia to nitric acid. In the regression models, x is air flow, x2 is cooling w...
Please answer asap, thanks!
We collect the following data to study the operation of a plant for the oxidation of ammonia to nitric acid. In the regression models, x is air flow, x2 is cooling water inlet temperature and y is stack loss. The standard errors of predicted are derived from the second model. Note that 1 57.765 and Σ(x1,-%)2-871.06. StdErr Pred y 27 0.9980645052 2 0.3599917876 23 0.4203293994 24 0.5286438199 4 0.5286438199 23 0.5199911743 8 0.5148291582 8 0.5148291582 7...
From the following Parameter Estimates table, what can we say about the significance of the regression...
From the following Parameter Estimates table, what can we say about the significance of the regression coefficients for variables Cholesterol, Zgen and ZgenCh? Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr>It Type I SS Type ll SS Intercept Cholesterol 1 0.06411 0.087370.73 0.4650 2939.26842 317.73802 Zgen ZgenCh 1 118.30619 20.37290 5.81 <.0001 1806145 19900 1-23.90229 28.37414 -0.84 0.40181852.61008 418.77743 1 0.14340 0.12211 1.17 0.2433 813.80181 813.80181 O AVariable Cholesterol is significant to the regression B Variable Zgen...
How do we come out with the std.error. #3-ANOVA with solutions Regression Analysis R2 0.642 20...
How do we come out with the std.error.
#3-ANOVA with solutions Regression Analysis R2 0.642 20 R 0.801 Std. Error 3.219 ANOVA table MS 157.9645 10.3605 df p-value Source Regression Residual Total 315.9291 176.1284 492.0575 15.25 0002 17 19 Regression output Variables Intercept Months Gender Coefficients 15.7625 0.4415 3.8598 std. error 3.0782 0.0839 1.4724 5.121 5.263 2.621 p-value 0001 0001 0179
Given the following, which of the following are true (check all that apply: Analysis of Variance...
Given the following, which of the following are true (check all that apply: Analysis of Variance Source DF Sum of Mean Square F Ratio Model Error 111 C. Total 112197.35825 Squares 1 11.65832 11.6583 6.9686 1 185.69994 1.6730 Prob> 0.0095* Parameter Estimates Term Intercept Beds Estimate Std Error t Ratio Prob>l 3.3735438 0.392134 8.60<.0001 0.0070695 0.002678 2.64 0.0095 Select one or more: a. We expect the risk of a hospital to change by.0070695 for each change in the number of...
LA Real Estate Data. On a particular day in the spring, there were several properties for...
LA Real Estate Data. On a particular day in the spring, there were several properties for sale in Los Angeles. The dataset LARealEstate.xlsx on Blackboard contains the data used for this analysis (See Exhibit 1 for output). The relevant variables for this analysis are: 1. List Price: Saft Price the property is currently listed for Square footage of the living space To create the output yourself: .Excel: Data - Data Analysis- Regression, select the Y and X columns, including variable...
QUESTION 19 For the following software output, check each assumption/condition to run linear regression and state...
QUESTION 19 For the following software output, check each assumption/condition to run linear regression and state whether it is appropriate to use linear regression. Bivariate Fit of pluto By alpha 20 15 10 5 0 e 0.05 0.15 C 0.1 alpha Linear Fit Linear Fit pluto -0.597417 16543195*alpha Summary of Fit RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts) 0.915999 0.911999 2.172963 6.73913 23 Analysis of Variance Sum of DF Squares Mean Square Source...
Also: Based on the regression results, solve for the predicted MPGavg for 8 cylinder cars. and Based on the regression...
Also:
Based on the regression results, solve for the predicted
MPGavg for 8 cylinder cars.
and
Based on the regression results, what is the best answer
concerning average MPG for 4 cylinder SUVs.
a. 4 cylinder SUVs have statistically higher average MPG when
compared to 8 cylinder SUVs.
b. The number of cylinders does not help explain average
MPG.
c. 6 cylinder SUVs do not have statistically higher average MPG
when compared to 8 cylinder SUVs.
d. 4 cylinder SUVs...
Bivariate Fit of NONFOOD PURCHASES By AGE 90 80 70 60 50 40 30 20 20...
Bivariate Fit of NONFOOD PURCHASES By AGE 90 80 70 60 50 40 30 20 20 30 40 50 60 AGE -Linear Fit Linear Fit NONFOOD_PURCHASES = 12.956633 0.8136836 AGE Summary of Fit RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts) 0.33852 0.336478 11.54086 39.1842 326 Lack Of Fit Analysis of Variance Sum of Source DF Squares Mean Square F Ratio 22084.6 165.8106 133.2 Prob > F .00011 Model 1 22084.562 Error 324 43154.032...
7,10,11 Based on the following regression output, what is the equation of the regression line? Regression...
7,10,11
Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.917214 R Square 0.841282 Adjusted R Square 0.821442 Standard Error 9.385572 Observations 10 ANOVA df SS MS Significance F 1 Regression 3735.3060 3735.30600 42.40379 0.000186 8 Residual 704.7117 88.08896 9 Total 4440.0170 Coefficients Standard Error t Stat P-value Lower 95% Intercept 31.623780 10.442970 3.028236 0.016353 7.542233 X Variable 1.131661 0.173786 6.511819 0.000186 0.730910 o a. 9; = 7.542233+0.7309 Xli o b....
I think I am reading into the question to much. Would I just do x=10 and plug it into the least s...
I think I am reading into the question to much. Would I just do
x=10 and plug it into the least square equation?
Bivariate Fit of ls2 By pyr2 1.0 0.9 0.8 Is2 0.7 0.6 0.5 0.4 30 40 50 10 0 20 60 70 pyr2 Linear Fit Linear Fit Is2 - 0.8044313 - 0.0016504 pyr2 Summary of Fit RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts) 0.031661 0.006831 0.137003 0.759024 Lack Of Fit...
Please answer asap, thanks!
We collect the following data to study the operation of a plant for the oxidation of ammonia to nitric acid. In the regression models, x is air flow, x2 is cooling water inlet temperature and y is stack loss. The standard errors of predicted are derived from the second model. Note that 1 57.765 and Σ(x1,-%)2-871.06. StdErr Pred y 27 0.9980645052 2 0.3599917876 23 0.4203293994 24 0.5286438199 4 0.5286438199 23 0.5199911743 8 0.5148291582 8 0.5148291582 7...
From the following Parameter Estimates table, what can we say about the significance of the regression coefficients for variables Cholesterol, Zgen and ZgenCh? Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr>It Type I SS Type ll SS Intercept Cholesterol 1 0.06411 0.087370.73 0.4650 2939.26842 317.73802 Zgen ZgenCh 1 118.30619 20.37290 5.81 <.0001 1806145 19900 1-23.90229 28.37414 -0.84 0.40181852.61008 418.77743 1 0.14340 0.12211 1.17 0.2433 813.80181 813.80181 O AVariable Cholesterol is significant to the regression B Variable Zgen...
How do we come out with the std.error.
#3-ANOVA with solutions Regression Analysis R2 0.642 20 R 0.801 Std. Error 3.219 ANOVA table MS 157.9645 10.3605 df p-value Source Regression Residual Total 315.9291 176.1284 492.0575 15.25 0002 17 19 Regression output Variables Intercept Months Gender Coefficients 15.7625 0.4415 3.8598 std. error 3.0782 0.0839 1.4724 5.121 5.263 2.621 p-value 0001 0001 0179
Given the following, which of the following are true (check all that apply: Analysis of Variance Source DF Sum of Mean Square F Ratio Model Error 111 C. Total 112197.35825 Squares 1 11.65832 11.6583 6.9686 1 185.69994 1.6730 Prob> 0.0095* Parameter Estimates Term Intercept Beds Estimate Std Error t Ratio Prob>l 3.3735438 0.392134 8.60<.0001 0.0070695 0.002678 2.64 0.0095 Select one or more: a. We expect the risk of a hospital to change by.0070695 for each change in the number of...
LA Real Estate Data. On a particular day in the spring, there were several properties for sale in Los Angeles. The dataset LARealEstate.xlsx on Blackboard contains the data used for this analysis (See Exhibit 1 for output). The relevant variables for this analysis are: 1. List Price: Saft Price the property is currently listed for Square footage of the living space To create the output yourself: .Excel: Data - Data Analysis- Regression, select the Y and X columns, including variable...
QUESTION 19 For the following software output, check each assumption/condition to run linear regression and state whether it is appropriate to use linear regression. Bivariate Fit of pluto By alpha 20 15 10 5 0 e 0.05 0.15 C 0.1 alpha Linear Fit Linear Fit pluto -0.597417 16543195*alpha Summary of Fit RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts) 0.915999 0.911999 2.172963 6.73913 23 Analysis of Variance Sum of DF Squares Mean Square Source...
Also:
Based on the regression results, solve for the predicted
MPGavg for 8 cylinder cars.
and
Based on the regression results, what is the best answer
concerning average MPG for 4 cylinder SUVs.
a. 4 cylinder SUVs have statistically higher average MPG when
compared to 8 cylinder SUVs.
b. The number of cylinders does not help explain average
MPG.
c. 6 cylinder SUVs do not have statistically higher average MPG
when compared to 8 cylinder SUVs.
d. 4 cylinder SUVs...
Bivariate Fit of NONFOOD PURCHASES By AGE 90 80 70 60 50 40 30 20 20 30 40 50 60 AGE -Linear Fit Linear Fit NONFOOD_PURCHASES = 12.956633 0.8136836 AGE Summary of Fit RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts) 0.33852 0.336478 11.54086 39.1842 326 Lack Of Fit Analysis of Variance Sum of Source DF Squares Mean Square F Ratio 22084.6 165.8106 133.2 Prob > F .00011 Model 1 22084.562 Error 324 43154.032...
7,10,11
Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.917214 R Square 0.841282 Adjusted R Square 0.821442 Standard Error 9.385572 Observations 10 ANOVA df SS MS Significance F 1 Regression 3735.3060 3735.30600 42.40379 0.000186 8 Residual 704.7117 88.08896 9 Total 4440.0170 Coefficients Standard Error t Stat P-value Lower 95% Intercept 31.623780 10.442970 3.028236 0.016353 7.542233 X Variable 1.131661 0.173786 6.511819 0.000186 0.730910 o a. 9; = 7.542233+0.7309 Xli o b....
I think I am reading into the question to much. Would I just do
x=10 and plug it into the least square equation?
Bivariate Fit of ls2 By pyr2 1.0 0.9 0.8 Is2 0.7 0.6 0.5 0.4 30 40 50 10 0 20 60 70 pyr2 Linear Fit Linear Fit Is2 - 0.8044313 - 0.0016504 pyr2 Summary of Fit RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts) 0.031661 0.006831 0.137003 0.759024 Lack Of Fit...
Most questions answered within 3 hours.
-
For this problem, carry at least four digits after the decimal
in your calculations. Answers may...
asked 28 minutes ago -
Ask a user for three positive integer numbers. Use an input
validation loop to make sure...
asked 30 minutes ago -
The most primitive form of data from data analysis perspective
is a. nominal scale b. ordinal...
asked 32 minutes ago -
The number of vacancies in some hypothetical metal increases by
a factor of 5 when the...
asked 35 minutes ago -
The fiduciary duty that is predicated on the concept that a
board of directors and officers...
asked 37 minutes ago -
Sustainable Growth Rate Last year Umbrellas Unlimited
Corporation had an ROE of 17.3% and a dividend...
asked 46 minutes ago -
Write a MATLAB program to do the following:
Receive 5 input values and store them into...
asked 51 minutes ago -
Which one of the following aqueous solutions would you expect to
have the largest conductance: (a)...
asked 50 minutes ago -
(Intermediate Macroeconomics)
2.The aggregate supply function be ys=2000+P, and the aggregate
demand function be yD=2400-P。Find the...
asked 55 minutes ago -
I am having a really difficult time developing a strong thesis
for this question....... To what...
asked 1 hour ago -
There are n street lights in a line. In order to conserve
energy, the city decides...
asked 1 hour ago -
Cellular growth and repair require a cell to go through the cell
cycle. Like all biological...
asked 1 hour ago