ANOVA df Regression Residual Total 3 102430.9508 61890.8874 31 164321.8382 28 Co

Question

ANOVA df Regression Residual Total 3 102430.9508 61890.8874 31 164321.8382 28 Coefficients Standard Error Intercept SF Age Temp 653.0546 0.0919 2.0423 10.8481 322.3942 0.0211 1.5069 5.0084 A utility company would like to predict the monthly heating bill for a household in a certain county in January, A random sample of households in the county was selected and their January heating bill was recorded along with the variables SF. Age, and Temp, with the results shown in the accompanying regression output. Complete parts a and b below Click the icon to view the regression output. and , letj-1 represent the vanable SF let-2 represent the variable Age, and let-3 represent the variable a. Test the significance of each independent vanable using ?= 0.10 For b Temp Test the significance of the variable SF. Determine the null and alternative hypotheses Determine the test statistic t4.36 (Round to two decimal places as needed.) Determine the p-value, using ?= 0.10 p-value- (Round to three decimal places as needed.)

Explanation / Answer

here from given output ; test statistic =coefficeint/std error =0.0919/0.0211=4.36

for (n-p-1)=28 degree of freedom and above test statistic p value =0.000

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