The following results came from a simple regression analysis based on 20 oberservations. Yhat=15-5x SSyy=400 Error...
The following results came from a simple regression analysis based on 20 oberservations.
Yhat=15-5x
SSyy=400
Error Sum of square=100
| Source | SS | df | MS | F |
| regression | 300.00 | 1 | 300.00 | 54.00 |
| error | 100.00 | 18 | 5.56 | |
| total | 400.00 | 19 |
What is the numerical value for the sample correlation coefficient, and how many standard deviations away from zero is the value you used as your previous answer? .
Homework Answers
Coefficient of Determination = r^2
= SS(Regression) / SS(Total)
= 300.00/ 400.00 = 3/4 = 0.75
correlation coefficient = r = 0.8660
Standard deviation is = √SS(error)/n-2
= 2.3570
So there are 2 standard deviations is away from zero
Add Answer to:
The following results came from a simple regression analysis
based on 20 oberservations.
Yhat=15-5x
SSyy=400
Error...
Here is partial output from a simple regression analysis. The regression equation is EAFE = 4.76...
Here is partial output from a simple regression analysis. The regression equation is EAFE = 4.76 + 0.663 S&P F MS 3445.9 9.50 0.005 Analysis of Variance Source DF SS Regression 1 3445.9 Residual Error Total 29 13598.3 Calculate the values of the following: The regression standard error, se (Round to 3 decimal places) The coefficient of determination, r(Round to 4 decimal places) The correlation coefficient, r (Round to 4 decimal places) se =
timed test. please hurry Here is partial output from a simple regression analysis. The regression equation...
timed test. please hurry
Here is partial output from a simple regression analysis. The regression equation is EAFE = 4.76 + 0.663 S&P MS Analysis of Variance Source DF SS Regression 1 3445.9 Residual Error Total 29 13598.3 3445.9 F 9.50 0.005 Calculate the values of the following: The regression standard error, s. (Round to 3 decimal places) The coefficient of determination, r 2 (Round to 4 decimal places) The correlation coefficient, r (Round to 4 decimal places)
The following ANOVA table is from a multiple regression analysis: MS F Source Regression Error...
The following ANOVA table is from a multiple regression
analysis:
MS F Source Regression Error Total df 5 25 SS 2000 2500 The observed F value is __ O 20 O 400 O 2000 O 500 O 10
Consider the following partial computer output from a simple linear regression analysis. Predictor Coef SE Coef...
Consider the following partial computer output from a simple linear regression analysis. Predictor Coef SE Coef T P 4.8615 9.35 0.5201 0.000 Constant -0.34655 0.05866 Independent Var S = .4862R-Sq| Analysis of Variance SS MS Source DF F Regression 1 34.90 Residual Error 13 Total 14 11.3240 Calculate the MSE
Consider the following partial computer output from a simple linear regression analysis. Predictor Coef SE Coef T P 4.8615 9.35 0.5201 0.000 Constant -0.34655 0.05866 Independent Var S = .4862R-Sq|...
given the following anova table: source DF SS MS F Regression 1 1,050.0 1,050.0 28.00 error...
given the following anova table: source DF SS MS F Regression 1 1,050.0 1,050.0 28.00 error 14 525.0 37.50 total 15 1,575.0 A. determine the coefficient of determination B. assuming a direct relationship between the variables, what is the correlation coefficient? C. determine the standard error of estimate
Consider the following partial computer output from a simple linear regression analysis. P Predictor Coef SE...
Consider the following partial computer output from a simple linear regression analysis. P Predictor Coef SE Coef T Constant 9.35 0.000 4.8615 0.5201 0.05866 Independent Var -0.34655 S=4862R-Sq. Analysis of Variance MS DF SS F Source 1 34.90 Regression 13 Residual Error 14 11.3240 Total What is the predicted value of ywhen x 9.00?
Given the following ANOVA table: Source DF SS MS F Regression 1 1,050 1,050.00 24.00 Error...
Given the following ANOVA table: Source DF SS MS F Regression 1 1,050 1,050.00 24.00 Error 12 525 43.75 Total 13 1,575 a. Determine the coefficient of determination.(Round your answer to 2 decimal places.) Coefficient of determination _____ b. Assuming a direct relationship between the variables, what is the correlation coefficient? (Round your answer to 2 decimal places.) Coefficient of correlation _____ c. Determine the standard error of estimate. (Round your answer to 2 decimal places.) Standard error of estimate...
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....
Q. 9 The following is a partial regression result of a two-variable model (i.e. simple linear...
Q. 9 The following is a partial regression result of a two-variable model (i.e. simple linear regression). In the study, a health care economist seeks to determine if a relationship exists between personal income and expenditures on health care, both measured in billions of dollars. Regression Statistics Multiple R ??? R Square ??? Standard Error Observations 51 ANOVA df SS MS F P-value Regression 1 15,750.32 0.00001 Residual/Error Total ??? 16,068.21 Coefficients Standard Error t Stat P-value Lower 95% Upper...
A simple linear regression (linear regression with only one predictor) analysis was carried out using a...
A simple linear regression (linear regression with only one predictor) analysis was carried out using a sample of 23 observations From the sample data, the following information was obtained: SST = [(y - 3)² = 220.12, SSE= L = [(yi - ġ) = 83.18, Answer the following: EEEEEEEE Complete the Analysis of VAriance (ANOVA) table below. df SS MS F Source Regression (Model) Residual Error Total Regression standard error (root MSE) = 8 = The % of variation in the...
Here is partial output from a simple regression analysis. The regression equation is EAFE = 4.76 + 0.663 S&P F MS 3445.9 9.50 0.005 Analysis of Variance Source DF SS Regression 1 3445.9 Residual Error Total 29 13598.3 Calculate the values of the following: The regression standard error, se (Round to 3 decimal places) The coefficient of determination, r(Round to 4 decimal places) The correlation coefficient, r (Round to 4 decimal places) se =
timed test. please hurry
Here is partial output from a simple regression analysis. The regression equation is EAFE = 4.76 + 0.663 S&P MS Analysis of Variance Source DF SS Regression 1 3445.9 Residual Error Total 29 13598.3 3445.9 F 9.50 0.005 Calculate the values of the following: The regression standard error, s. (Round to 3 decimal places) The coefficient of determination, r 2 (Round to 4 decimal places) The correlation coefficient, r (Round to 4 decimal places)
The following ANOVA table is from a multiple regression
analysis:
MS F Source Regression Error Total df 5 25 SS 2000 2500 The observed F value is __ O 20 O 400 O 2000 O 500 O 10
Consider the following partial computer output from a simple linear regression analysis. Predictor Coef SE Coef T P 4.8615 9.35 0.5201 0.000 Constant -0.34655 0.05866 Independent Var S = .4862R-Sq| Analysis of Variance SS MS Source DF F Regression 1 34.90 Residual Error 13 Total 14 11.3240 Calculate the MSE
Consider the following partial computer output from a simple linear regression analysis. Predictor Coef SE Coef T P 4.8615 9.35 0.5201 0.000 Constant -0.34655 0.05866 Independent Var S = .4862R-Sq|...
Consider the following partial computer output from a simple linear regression analysis. P Predictor Coef SE Coef T Constant 9.35 0.000 4.8615 0.5201 0.05866 Independent Var -0.34655 S=4862R-Sq. Analysis of Variance MS DF SS F Source 1 34.90 Regression 13 Residual Error 14 11.3240 Total What is the predicted value of ywhen x 9.00?
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....
A simple linear regression (linear regression with only one predictor) analysis was carried out using a sample of 23 observations From the sample data, the following information was obtained: SST = [(y - 3)² = 220.12, SSE= L = [(yi - ġ) = 83.18, Answer the following: EEEEEEEE Complete the Analysis of VAriance (ANOVA) table below. df SS MS F Source Regression (Model) Residual Error Total Regression standard error (root MSE) = 8 = The % of variation in the...
Most questions answered within 3 hours.
-
The Paradise Shoes Company has estimated its weekly TVC function
from data collected over the past...
asked 1 minute ago -
A researcher wishes to study the cumulative effects of several
combinations of HIV drugs. There are...
asked 1 minute ago -
Your task is to design the page table for the 32bit Pentium
microprocessor. Answer the following...
asked 3 minutes ago -
Although Epicurus advocates pursuing pleasure for the
good life, discuss a few reasons why he does...
asked 19 minutes ago -
Problem 1: Present entries to record the selected transactions
described below:
(a)
Issued $2,790,000 of 5-year,...
asked 25 minutes ago -
Using technology to support HR activities increases:
a.
the efficiency of the administrative HR functions.
b....
asked 26 minutes ago -
1. List the features used to classify leaf
types.
2. List some characteristics that are shared...
asked 31 minutes ago -
The three elements of Value Proposition, Key Customers, and
Capabilities operate within an environment. Which of...
asked 33 minutes ago -
Katelynn, a physician, earns $200,000 from her medical practice
in the current year. She receives $45,000...
asked 41 minutes ago -
Each row of the table below describes an aqueous solution at
25°C
.
The second column...
asked 45 minutes ago -
A horizontal wire is at y = 0. Current travels in the +x
direction. The magnetic...
asked 46 minutes ago -
Let X be a continuous random variable whose PDF is Let X be a
continuous random...
asked 1 hour ago