Refer to this ANOVA table from a regression: df Source Regression Residual Total 4 45 49 Which statement is not accurate? Multiple Choice The Ftest is significant at a = .05. O There were 50 observations. There were 5 predictors. SS 1793.2356 2695.0996 4488.3352 There would be 50 residuals. MS 448.3089 59.8911 F 7.48540

This question has been partcially answered. The last time asked Part C was answered incorrectly. I need help with C through E please In the following regression, X = total assets ($ billions), Y = total revenue ($ billions), and n = 64 large banks.      R2 0.519 Std. Error 6.977 n 64     ANOVA table Source SS df MS F p-value Regression   3,260.0981     1     3,260.0981     66.97     1.90E-11   Residual   3,018.3339     62     48.6828               Total   6,278.4320     63                         Regression output confidence interval variables coefficients std. error t Stat p-value Lower 95% Upper 95% Intercept   6.5763     1.9254     3.416     .0011     2.7275     10.4252   X1   0.0452     0.0055     8.183     1.90E-11     0.0342     0.0563      (a) Write the fitted regression equation.  yˆy^ =  6.5763 6.5763 Correct  +   0.0452 0.0452 Correct  X (b-1) State the degrees of freedom for a two-tailed test for zero slope, and use Appendix D to…

Use the given information about sums of squares and sample size for a linear model to fill in all values in the analysis of variance for regression table below. SSModel = 250 with SSTotal = 3000 and a sample size of n = Round your answer for the p-value to four decimal places, and all other answers to three decimal places, if necessary. Source Model Error Total i df 100. SS MS F-statistic i p-value

10.2.13 Question Help The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 58 inches. Is the result close to the actual weight of 632 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) 46 57 53 41 40 40 384 580 542 358 306 320 Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y =+ x (Round to one decimal place as needed.) Enter your answer in the edit fields and then click Check Answer. 2 parts remaining Clear All Check Answer 9:31 PM P Type here to search 4/26/2021

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.

PLEASE ANSWER DONT REJECT

A manufacturing company that produces laminate for countertops is interested in studying the relationship between the number of hours of training that an employee receives and the number of defects per countertop produced. Ten employees are randomly selected. The number of hours of training each employee has received is recorded and the number of defects on the most recent countertop produced is determined. The results are as follows. Hours of Training 1 4 7 3 2 2 5 5 1 6 Defects per Countertop 5 1 0 3 5 4 1 2 8 2

**Please complete table**

10.2.17 E Question Help O Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 90 mm Hg. Use a significance level of 0.05. Right Arm 102 101 94 76 77 O Left Arm 175 169 149 146 147 E Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y=+L x. (Round to one decimal place as needed.)

Refer to the ANOVA table for this regression.  Source d.f. SS MS Regression 2 578,850 289,425 Error 21 378,420 18,020 Total 23 957,270     Using Appendix F on the pictures, calculate F.05, a=0.05, F statistics, R2, and R2 adj.