Answer- (c) and (d)
As the residual plot is scattered , we can say that there is a high correlation among the residuals.
And there are some points far above and below the mid line, which shows the existence of outliers.
Question 14 Below is a residual plot of a regression model. Residuals Versus the Fitted Values...
Need help with a problem on my practice test Below is a residual plot of a regression model. Residuals Versus the Fined Values response RETURN Standardized Red Frede The above plot indicates la incorrect specification of the model Dadear violation of homosedasticity sahich correlation among the residual d) the existence of an outler Caland ) land o C andid anda
The multiplication of two variables is used as a predictor if the two variables jointly affect the response. True O False Question 7 1 pts Even if the P-value of the F test in a multiple regression model is nearly zero, it is possible that the R of the model is much less than one. OT False Question 8 1 pts in selecting independent variables for a regression model, neither the forward selection method nor the backward elimination method guarantee...
Below are given (a) A scatterplot of Y versus X and (b) A plot of residuals versus fitted values after a simple linear regression model was fit to the data. What is the equation of the fitted line? Discuss what is indicated about the relationship between Y and X as it relates to simple linear regression. Fitted Line Plot Y = - 14.64 + 7.431 X R-Sq R-Sq (adj) 2.43700 91.9% 91.8% 1 > 20- 3 4 5 6 7...
The results shown below provide the X-values, residuals, and a residual plot from a regression analysis. Is there any evidence of a pattern in the residuals? Explain. X Residual 1 .79 2 -0.84 3 1.19 4 -0.38 5 2.36 6 -0.73 7 0.19 8 1.62 9 -1.15 10 1.77 Choose the correct answer below. A. Yes, the residuals show decreasing variation. B. No, the residuals appear to be randomly spread. C. Yes, the residuals show a distinct cyclical pattern. D....
(e) Using the following residual plot from Excel, write a critique on the fitted linear regression model. [3 marks] Residual Plot 8000 6000 4000 2000 Residual -2000 -4000 -6000 -8000 -10000 - 12000 Dec98 Mayop Sep01 Octos Mar07 Julos Jan 03 Jun 04 Quarters
Which of the following is a diagnostic plot for regression? O A. Scatterplot of y versus x to check linearity O B. Scatterplot of residuals versus predicteds to check for constant variance or nonlinearity ° C. Histogram of residuals to check for normality O D. All of the above are diagnostic plots for regression
Suppose Heat Power developed a regression model relating heating average annual pay to the percentage of households using natural gas as heating type. Below is the plot of the corresponding residuals versus the predicted values. Versus File free Rated Value What does the residual plot suggest? The spread of the residuals decreases as the fitted value increases. The plot of residuals shows no unusual pattern. The Equal Variance assumption is satisfied. The spread of the residuals remains unchanged as the...
a.Present (here) the plot of the residuals of this simple linear regression model against its fitted values. b. Describe (here) the appearance of this residual plot. c.State (here) the RMSE of this regression. MPG 43.1 19.9 19.2 Horsepower 48 110 105 165 139 103 115 155 142 150 71 76 65 100 84 58 88 92 139 110 90 17.7 18.1 20.3 21.5 16.9 ISS 185 27.2 41.5 46.6 23.7 27.2 39.1 28.0 24.0 20.2 20.5 28.0 34.7 36.1 35.7...
Which of the following is a true statement about residuals? Choose the correct answer below. 0 A. The regression line is the line that minimizes the standard deviation of the residuals. O B. The residual plot for a model that a good fit to the data should not show any pattern or have any unusual features. O C. A residual is the difference between the actual data value and the value predicted by the model 0 D. All of the...
Decide (with short explanations) whether the following statements are true or false. e) In a simple linear regression model with explanatory variable x and outcome variable y, we have these summary statisties z-10, s/-3 sy-5 and у-20. For a new data point with x = 13, it is possible that the predicted value is y = 26. f A standard multiple regression model with continuous predictors and r2, a categorical predictor T with four values, an interaction between a and...