Use the following ANOVA table for regression analysis to compute the adjusted R² value. ANOVA Regression Residual Total 0.767 0.901 0.804 0.897 of 3 SS 41695.277 19 212915.750 MS F 57073.491 21.901
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- A multiple regression analysis produced the following tables. Predictor Coefficients StandardErrort Statistic p-valueIntercept -139.609 2548.989 -0.05477 0.957154x 24.24619 22.25267 1.089586 0.295682x 32.10171 17.44559 1.840105 0.08869Source df SS MS F p-valueRegression 2 302689 151344.5 1.705942 0.219838Residual 13 1153309 88716.07Total 15 1455998Using = 0.01 to test the null hypothesis H :?1 = ?2 = 0, the critical F value is ____.6.701.964.845.995.70Use 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 .Use the following ANOVA table for regression to answer the questions. Response: Y Source DF Sum Sq Mean Sq F-value Pr(>F) Regression 1 343.82 343.82 13.80 0.000 Residual Error 359 8942.69 24.91 Total 360 9286.51 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
- 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.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.Based on the Descriptive Statistcs table below, 1. Use this formula to calculate Adjusted R2 = 1.0 – (Residual MS/Total MS) 2. What is the intercept coefficient value (b0)?3. What is the slope coefficient value (b1| in the ANOVA Table and what does this value mean? 4. Modify the generic wording below to explain the Coefficient of Determination: Positive Coefficient (Direct Relationship) The regression coefficient (XX), or the slope of the linear regression equation, indicates a XX (unit)increase (decrease) in the independent variable (X) is associated with a XX (unit) increase (decrease) in the dependent variable (Y).
- A multiple regression analysis produced the following tables. Predictor Coefficients StandardErrort Statistic p-valueIntercept 624.5369 78.49712 7.956176 6.88E-06x 8.569122 1.652255 5.186319 0.000301x 4.736515 0.699194 6.774248 3.06E-05Source df SS MS F p-valueRegression2 1660914 830457.1 58.319561.4E06Residual 11 156637.5 14239.77Total 13 1817552The adjusted R is ____________.0.91380.88910.88510.8981Use the following ANOVA table for regression to answer the questions. Analysis of Variance Source DF SS MS F P Regression 1 302.8 302.8 1.66 0.199 Residual Error 174 31737.6 182.4 Total 175 32040.4 Give the F-statistic and p-value.Enter the exact answers.The F-statistic is .The p-value is .Use the following ANOVA table for regression to answer the questions. Response: Y Source DF Sum Sq Mean Sq F-value Pr(>F) Regression 1 351.94 351.94 12.73 0.000 Residual Error 359 9926.35 27.65 Total 360 10278.29 Give the F-statistic and p-value.The F-statistic is The p-value is Choose the conclusion of this test using a 5%5% significance level. A) Reject H0H0. The model is not effective. B) Reject H0H0. The model is effective. C) Do not reject H0H0. We did not find evidence that the model is not effective. D) Do not reject H0H0. We did not find evidence that the model is effective.
- Using the following information: Coefficients Intercept -12.8094 Independent variable 2.1794 ANOVA df SS MS F Regression 1 12323.56 12323.56 90.0481 Residual 8 1094.842 136.8550 Total 9 13418.4 What is the standard error of the estimate?Consider a certain data set on shoulder girth and height of a group of individuals. The mean shoulder girth is 107.20 cm with a standard deviation of 10.37 cm. The mean height is 171.14 cm with a standard deviation of 9.41 cm. The correlation between height and shoulder girth is 0.67. Calculate R2 of the regression line for predicting height from shoulder girth, and interpret it in the context of the application.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 10.840 10.840 3.02 0.083 Residual Error 342 1227.438 3.589 Total 342 1238.278 The F-statistic is _____.The p-value is _____. Choose the conclusion of this test using a significance level.-Do not reject H0. We did not find evidence that the model is effective. -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.