1. A regression of weekly shopping trip frequency on annual income (data entered in thousands of dollars) is performed on data collected from 24 respondents. The results are summarized below: Intercept 0.46 Slope 0.19 (Continued) Sum of squares df Mean square Regression Residual 1.7 Total 2.3 (a) Fill in the blanks in the ANOVA table.

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Please fill in the blanks and explain.

Use the following ANOVA table for regression to answer the questions. Response: Y Source DF Sum Sq Mean Sq F-value Pr(>F) Regression 1 10.351 10.351 2.89 0.090 Residual Error 342 1225.044 3.582     Total 343 1235.395                 Give the F-statistic and p-value.Enter the exact answers.The F-statistic is .The p-value is .

See the attached image for the introduction.  Question: Fill in a blank ANOVA table.

Use the following ANOVA table for regression to answer the questions. Response: Y Source DF Sum Sq Mean Sq F-value Pr(>F) Regression 1 10.549 10.549 2.32 0.129 Residual Error 342 1555.074 4.547     Total 343 1565.623                 Give the F-statistic and p-value.Enter the exact answers.The F-statistic is .The p-value is .     SHOW HINT LINK TO TEXT       Choose the conclusion of this test using a 5% significance level.     Reject H0. The model is effective.   Reject H0. The model is not effective.   Do not reject H0. We did not find evidence that the model is not effective.   Do not reject H0. We did not find evidence that the model is effective.

Use the following ANOVA table for regression to answer the questions. Analysis of Variance Source DF SS MS F P Regression 1 293.3 293.3 2.01 0.158 Residual Error 174 25386.6 145.9     Total 175 25679.9 The F-statistic is _____________.The p-value is ___________________

Compute the predicted value of IPT for the mean value of PSS (static facial expressions (higher PSS)) The regression formula is: The terms of the equation and their values are:

Calculate R2 and R2auj,, Showing your formulas clearly.

Use the following ANOVA table for regression to answer the questions. Response: Y Source DF Sum Sq Mean Sq F-value Pr(>F) Regression 1 10.964 10.964 3.02 0.083 Residual Error 342 1241.460 3.630     Total 343 1252.424           Give the F-statistic and p-value.Enter the exact answers.The F-statistic is Enter your answer; F-statistic .The p-value is Enter your answer; p-value .     Choose the conclusion of this test using a 5% significance level. Reject H0. The model is not effective. Do not reject H0. We did not find evidence that the model is not effective. Reject H0. The model is effective. Do not reject H0. We did not find evidence that the model is effective.