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Also, I can use some advice on this as well. The question at the top. It has examples. SUMMARY OUTPUT Regression Statistics Multiple F 0.269075

Also, I can use some advice on this as well. The question at the top. It has examples.

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SUMMARY OUTPUT Regression Statistics Multiple F 0.269075 R Square 0.072402 Adjusted | 0.026022 Standard [ 339.6822 Observati 22 ANOVA df MS F gnificance F Regressio 1 180120.6 180120.6 1.561053 0.225936 Residual 20 2307680 115384 Total 21 2487801 Coefficient:andard Err t Stat P-value Lower 95%Upper 95%ower 95.09 pper 95.0% Intercept 887.7781 276.3939 3.212004 0.004375 311.2306 1464.326 311.2306 1464.326 X Variable 9.736895 7.793124 1.249421 0.225936 -6.51928 25.99307 -6.51928 25.99307Using the accompanying Concert Sales data on sales dollars and the number of radio, TV, and newspaper ads promoting the concerts for a group of cities. Develop simple linear regression models for predicting sales as a function of the number of each type of ad. lCompare these resultsto a multiple linear regression model using both independent variables. State the model and explain Rsquare, Signicance F. and p-values. with an alpha of 0.05. a Click the icon to view the Concert Sales data. State the hypotheses for the simple linear regression tests. Ho: 1=0 H1: 1 fl} State the model predicting ConcertSales as a function of Radio&TV, the number (in thousands) of radio and TV ads. ConcertSales = 951591 + ( 12.926] RadioaTV (Type integers or decimals rounded to three decimal places as needed.) The value of R2. (1545', indicates that 54.5'% of the variation in the dependent variable is explained by this independent variable. (Type integers or decimals rounded to three decimal places as needed.) The Signicance F is 0.000 . (Type an integer or decimal rounded to three decimal places as needed.) The RadiotTllII pyalue is 0.000 . (Type an integer or decimal rounded to three decimal places as needed.) \fBecause the p-value and Significance F are less than the chosen level of significance, reject the null hypothesis. The results suggest that the variable is significant for the regression model. State the model predicting ConcertSales as a function of Newspaper, the number (in thousands) of newspaper ads. ConcertSales = 887.778 + ( 9.737 ) Newspaper (Type integers or decimals rounded to three decimal places as needed.) The value of RX, 0.072 , indicates that 7.2 % of the variation in the dependent variable is explained by this independent variable. (Type integers or decimals rounded to three decimal places as needed.) The Significance F is 0.226 (Type an integer or decimal rounded to three decimal places as needed.) The Newspaper p-value is (Type an integer or decimal rounded to three decimal places as needed.)State the hypotheses for the Multiple Linear Regression test. Ho: P1 = P2 = . . . = PK =0 He: at least one P, is not 0 In order to state the model, each variable needs to be identified. Identify bo, the intercept, by, identify the coefficient for Radio&TV, and b,, the coefficient for Newspaper, rounding to three decimal places. bo = 363.261 by = 12.684 by = 9.055

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