The larger the R2 value obtained in the linear regression output, the more accurate your forecasts...
- True
- False
Homework Answers
Correct Answer:
True
R square value tells the ability of the independent variables to explain the change in dependent variable. Hence, bigger R square value, means better explanation of the variation in dependent variable and higher accuracy in the forecasting.
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The larger the R2 value obtained in the linear regression output, the more accurate your forecasts...
In the summary output of a linear regression model in R, the p-value associated with the...
In the summary output of a linear regression model in R, the p-value associated with the F-statistic will be small only when the p-values associated with all the single-effect t-tests are small, is this statement true?
1. In simple linear regression analysis, we assume that the variance of the independent variable (X)...
1. In simple linear regression analysis, we assume that the variance of the independent variable (X) is equal to the variance of the dependent variable (Y) True False 2. The standard deviation of the sampling distribution of the sample mean is the same as the population standard deviation. True False 3. If n=20 and p=.4, then the mean of the binomial distribution is 8 True False 4. If a population is known to be normally distributed, then it follows that...
In simple linear regression, a small p-value (probability for the t-value) for the slope indicates that...
In simple linear regression, a small p-value (probability for the t-value) for the slope indicates that X is not a useful predictor for Y. True or false?
Simple Linear Regression Problem Simple Linear Regression Problem QUESTION 4 SUMMARY OUTPUT Regression Statistics Multiple R...
Simple Linear Regression Problem
Simple Linear Regression
Problem
QUESTION 4 SUMMARY OUTPUT Regression Statistics Multiple R Squared Adjusted Rsq Standard Error Observations 0.90 0.80 0.79 82.06 19.00 ANOVA MS 467247.5 6733.3 df Regression Residual Total 467247.5 114466.2 581713.7 17 Intercept Age Coefficients St Error 756.26 10.27 30.41 1.23 t Stat 24.87 -8.33 This output was obtained from data on the age of houses (in years) and the associated amount paid in rates (S). Predict the rates paid (in dollars correct...
QUESTION 4 In Multivariate Linear Regression, adding more independent variables might cause the adjusted R squared...
QUESTION 4 In Multivariate Linear Regression, adding more independent variables might cause the adjusted R squared to fall in some cases True False
The R2 in a regression output can best be used to evaluate Group of answer choices...
The R2 in a regression output can best be used to evaluate Group of answer choices The relationship between selling price and the contribution margin per unit The ability of predicting total cost at various activity levels The accuracy of total costs within the relevant range Standard errors between 0 and 1 The degree to which the cost estimates are accurate
For simple linear regression, suppose that we examine a residual plot and find that the residuals...
For simple linear regression, suppose that we examine a residual plot and find that the residuals are generally more-dispersed at lower levels of the explanatory variable. True or False: This suggests that one of the assumptions for simple linear regression is violated.
Consider the following data: Period Demand 90 F1 A) Forecasting Method F1 produces more accurate forecasts or F2....
Consider the following data: Period Demand 90 F1 A) Forecasting Method F1 produces more accurate forecasts or F2. (Support your answer) B). Find 2-S control limits for forecasting method F1. C) Interpret the following control charts: OD
The following table is the output of multiple linear regression analysis. a. Use the table to...
The following table is the output of multiple linear regression
analysis.
a. Use the table to report the F statistic. What is its degree of
freedom? What is the number of observations.
b. Find the p-value related to F on the computer output and report
its value. Using the p-value, test the significance of the
regression model at the .10, .05, .01, and .001 levels of
significance. What do you conclude?
Please show work and explain each step!
df ANOVA...
Question 2: A multiple linear regression analysis is performed and the following MINITAB output is observed:...
Question 2: A multiple linear regression analysis is performed and the following MINITAB output is observed: Regression Analysis: Fuel cell power versus H2 pressure and H2 flow The Regression Equation is Fuel cell power (W) = 2705.235 - 1.0745*H2 pressure (psi) + 3.7707*Hz flow (stoc) Term Coef SE Coef T-Value Constant 334.44 H2 pressure (psi) 9.09 Ha flow (stoc) 2.18 MS F-Value Analysis of Variance Source DF Regression Error Total 27 SS 3770.7 7751.78 Answer to the following questions based...
Simple Linear Regression Problem
Simple Linear Regression
Problem
QUESTION 4 SUMMARY OUTPUT Regression Statistics Multiple R Squared Adjusted Rsq Standard Error Observations 0.90 0.80 0.79 82.06 19.00 ANOVA MS 467247.5 6733.3 df Regression Residual Total 467247.5 114466.2 581713.7 17 Intercept Age Coefficients St Error 756.26 10.27 30.41 1.23 t Stat 24.87 -8.33 This output was obtained from data on the age of houses (in years) and the associated amount paid in rates (S). Predict the rates paid (in dollars correct...
For simple linear regression, suppose that we examine a residual plot and find that the residuals are generally more-dispersed at lower levels of the explanatory variable. True or False: This suggests that one of the assumptions for simple linear regression is violated.
Consider the following data: Period Demand 90 F1 A) Forecasting Method F1 produces more accurate forecasts or F2. (Support your answer) B). Find 2-S control limits for forecasting method F1. C) Interpret the following control charts: OD
The following table is the output of multiple linear regression
analysis.
a. Use the table to report the F statistic. What is its degree of
freedom? What is the number of observations.
b. Find the p-value related to F on the computer output and report
its value. Using the p-value, test the significance of the
regression model at the .10, .05, .01, and .001 levels of
significance. What do you conclude?
Please show work and explain each step!
df ANOVA...
Question 2: A multiple linear regression analysis is performed and the following MINITAB output is observed: Regression Analysis: Fuel cell power versus H2 pressure and H2 flow The Regression Equation is Fuel cell power (W) = 2705.235 - 1.0745*H2 pressure (psi) + 3.7707*Hz flow (stoc) Term Coef SE Coef T-Value Constant 334.44 H2 pressure (psi) 9.09 Ha flow (stoc) 2.18 MS F-Value Analysis of Variance Source DF Regression Error Total 27 SS 3770.7 7751.78 Answer to the following questions based...
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