Question
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
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 25.35 thousand. State the answer in thousands correct to two decimal places.
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df | SS | |
Regression | 1 | |
Residual | 67 | 68.96 |
Total | 68 | 208.57 |
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.
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The Maroochy Chamber of Commerce is interested in determining the relationship between the number of fine days each year and the number of interstate and overseas tourists visiting the Sunshine Coast each year, measured in thousands. Using annual data from 1993 to 2005 (inclusive), the following model was estimated: Y = -7.44 +1.11 X Error sum of squares:453.9 Sum of squares of X: 951.7 Determine thelower limit for the90% confidence interval for the slope correct totwo decimal places.
These three are super basic simple linear regression questions but I am just too stupid to figure it out. Please help.
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