Questions Assignment Score: 34.5% llapse Resources Hint Check Answer 1 Attempt Q
ID: 2909393 • Letter: Q
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Questions Assignment Score: 34.5% llapse Resources Hint Check Answer 1 Attempt Question 14 of 17 > 10. Question Correct 5 Attempts Residuals Fitted values of weight (Ib) 96% Evaluate the graphs to determine whether regression model conditions are met. Analyze the results in the ANOVA table and parameter estimates table to assess model signfiicance. Assume the significance level is 0.05 11. Question 0% The scatterplots indicate a relationship between weight and length and between weight and height to a degree. The scatterplots also demonstrate a linear relationship between and 12. Question Correct 2 Attempts 9896 which indicate multicollinearity. Given the pattern of the residuals in the residuals versus fitted plot and the distribution of the residuals, the regression assumptions of constant variance and 13. Question 0% normality of residuals been met. Because the p-value of the F-statistic in the ANOVA table is the signficiance level, at least one of the explanatory variables has a signfiicant influence on polar bear weight. The p-value of the length coefficient is evidence that the length coefficient contributes meaning to the multiple regression model. The p-value of coefficient is coefficient contributes meaning to the multiple regression model. 14. Question 0% the significance level. Therefore, there is VScroll Assignment Info the significance level. Therefore, there is evidence that the height ToolsExplanation / Answer
Analysing the output:
the scatterplot indicates a linear relationship between weight and length and between weight and height to a lesser degree.the scatterplots also demonstrate a linear relationship between length and height which indicate multicollinearity.Given the random pattern of residuals inthe residuals versus fitted plot and the normal distribution of residuals,the regression assumptions of constant variance and normality of residuals have been met.Because p value of F statistic in the ANOVA table is less than the significance level,atleast one of the explanatory variables has a signifcant influence on polar bear weight.
the p value of length coeffcient is less than the signifcance level.therfore there is sufficient evidence that the length coefficient conntributes meaning to multiple regression model.the p value of height coefficient is greater than significance level .Therefore,there is insuffcient evidence that the height coefficient contributes meaning to the multiple regression model.
used the analysis
From histogram it is normal
From anova tbale p<0.05
Model is signficant
From residual plot we observe random pattern
From parameter estimates table for length p=0.00834
p<0.05
length is significant variable
For height
p=0.94646
p>0.05
Height is not significant variable.
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