Simple Linear Regression Problem
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Simple Linear Regression Problem
QUESTION 3 df Regression Error Total 481.57 48 49 85.72 The above...
df Regression Error Total SS 453.26 79.56 48 49 The above ANOVA output is part of...
df Regression Error Total SS 453.26 79.56 48 49 The above ANOVA output is part of the printout relating truck weight to fuel consumption. Calculate the coefficient of determination as a percentage correct to two decimal places.
df SS Regression 1 Residual 67 55.35 Total 68 183.44 The ANOVA table above is from a...
df SS Regression 1 Residual 67 55.35 Total 68 183.44 The ANOVA table above is from a simple linear regression analysis relating the percentage alcohol content in diferent brands of beer to the number of kilojoules per 100mL. Determine the coefficient of determination as a percentage, correct to two decimal places.
df SS Regression 1 Residual 67 59.04 Total 68 268.35 The ANOVA table above is from...
df SS Regression 1 Residual 67 59.04 Total 68 268.35 The ANOVA table above is from a simple linear regression analysis relating the percentage alcohol content in diferent brands of beer to the number of kilojoules per 100mL. Determine the coefficient of determination as a percentage, correct to two decimal places.
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...
What does the error term in the simple linear regression model account for? What are the...
What does the error term in the simple linear regression model account for? What are the parameters of the simple linear model When all the points fall on the regression line, what is the value of the correlation coefficient? Part of an Excel output relating 15 observations of X (independent variable) and Y (dependent variable) is shown below. Provide the values for a-e shown in the table below. (See section 15.5) Summary Output ANOVA df SS MS F Significance F...
QUESTION 6 ANOVA df Regression 0.72 Residual 10 62.6 63.32 Total Std Error Coefficients 14.64 Intercept 146.76 1.99 No....
QUESTION 6 ANOVA df Regression 0.72 Residual 10 62.6 63.32 Total Std Error Coefficients 14.64 Intercept 146.76 1.99 No. of accounts (000) 5.87 This printout is for data relating the number of ATM withdrawals (in thousands) to the number of accounts (in thousands) at that branch. Predict the number of withdrawals if the number of accounts is 24.19 thousand. State the answer in thousands correct to two decimal places.
QUESTION 6 ANOVA df Regression 0.72 Residual 10 62.6 63.32 Total...
QUESTION 6 ANOVA df Regression 0.72 Residual 10 62.6 63.32 Total Std Error Coefficients 14.64 Intercept 146.76 1.99 No....
QUESTION 6 ANOVA df Regression 0.72 Residual 10 62.6 63.32 Total Std Error Coefficients 14.64 Intercept 146.76 1.99 No. of accounts (000) 5.87 This printout is for data relating the number of ATM withdrawals (in thousands) to the number of accounts (in thousands) at that branch. Predict the number of withdrawals if the number of accounts is 24.19 thousand. State the answer in thousands correct to two decimal places.
QUESTION 6 ANOVA df Regression 0.72 Residual 10 62.6 63.32 Total...
Given the following ANOVA table: Source Regression Error Total F 24.00 DF 1 12 13 SS...
Given the following ANOVA table: Source Regression Error Total F 24.00 DF 1 12 13 SS 1,050.0 525.0 1,575.0 MS 1,050.00 43.75 a. Determine the coefficient of determination. (Round your answer to 3 decimal places.) Coefficient of determination c. Determine the standard error of estimate. (Round your answer to 2 decimal places.) Standard error of estimate
ANOVA df SS Regression 1 0.72 Residual 10 62.6 Total 11 63.32 Coefficients Std Error Intercept...
ANOVA df SS Regression 1 0.72 Residual 10 62.6 Total 11 63.32 Coefficients Std Error Intercept 14.64 146.76 No. of accounts (000) 1.99 5.87 This printout is for data relating the number of ATM withdrawals (in thousands) to the number of accounts (in thousands) at that branch. Predict the number of withdrawals if the number of accounts is 24.528 thousand. State the answer in thousands correct to two decimal places.
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...
df Regression Error Total SS 453.26 79.56 48 49 The above ANOVA output is part of the printout relating truck weight to fuel consumption. Calculate the coefficient of determination as a percentage correct to two decimal places.
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 6 ANOVA df Regression 0.72 Residual 10 62.6 63.32 Total Std Error Coefficients 14.64 Intercept 146.76 1.99 No. of accounts (000) 5.87 This printout is for data relating the number of ATM withdrawals (in thousands) to the number of accounts (in thousands) at that branch. Predict the number of withdrawals if the number of accounts is 24.19 thousand. State the answer in thousands correct to two decimal places.
QUESTION 6 ANOVA df Regression 0.72 Residual 10 62.6 63.32 Total...
QUESTION 6 ANOVA df Regression 0.72 Residual 10 62.6 63.32 Total Std Error Coefficients 14.64 Intercept 146.76 1.99 No. of accounts (000) 5.87 This printout is for data relating the number of ATM withdrawals (in thousands) to the number of accounts (in thousands) at that branch. Predict the number of withdrawals if the number of accounts is 24.19 thousand. State the answer in thousands correct to two decimal places.
QUESTION 6 ANOVA df Regression 0.72 Residual 10 62.6 63.32 Total...
Given the following ANOVA table: Source Regression Error Total F 24.00 DF 1 12 13 SS 1,050.0 525.0 1,575.0 MS 1,050.00 43.75 a. Determine the coefficient of determination. (Round your answer to 3 decimal places.) Coefficient of determination c. Determine the standard error of estimate. (Round your answer to 2 decimal places.) Standard error of estimate
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