Regression Analysis The local grocery store wants to predict the daily sales in dollars.The manager believes that the amount of newspaper advertising significantly affects the store sales.He randomly selects 7 days of data consisting of daily grocery store sales (in thousands of dollars) and advertising expenditures (in thousands of dollars) .The Excel/Mega-Stat output given above summarizes the results of the regression model. At a significance level of .05,test the significance of the slope and state your conclusion.
A) We reject H0 and conclude there is sufficient evidence that dollars spent on advertising is a useful linear predictor of the grocery store sales.
B) We failed to reject H0 and conclude there is not sufficient evidence that dollars spent on advertising is a useful linear predictor of the grocery store sales.
C) We failed to reject H0 and conclude there is sufficient evidence that dollars spent on advertising is a useful linear predictor of the grocery store sales.
D) We reject H0 and conclude that there is sufficient evidence that grocery store sales in dollars is a useful linear predictor of the dollars spent on advertising.
E) We reject H0 and conclude that there is not sufficient evidence that dollars spent on advertising is a useful linear predictor of the grocery store sales.
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