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Below is the plot of residuals versus tted values for the regression model t. which linear model assumption appears to be most clearly violated? (Select one option only}. Residual Plot 400 300 o o 0 o I I 200 o I . I 100 U) g m 100 1-00 . 300 400 o 500 600 -100 " a. o . -200 o ' ' . I 300 ' O 400 Predicted Values SBIECt one or more: 3 a. Equal variance :I b. Linearity j c. Nom'lality 3 cl. Independence A study is conducted the examine the relationship between the number of friends an individual has on Facebook and the grey matter density in the area of the brain associated with social perception and associative memory. The Y (or response/dependent variable) is the number of friends on Facebook. The X (or explanatory/independent) variable is the grey matter density (call this GMdensity) in the relevant region of the brain. Some of the output from the regression model fit in Excel is shown below. Note that some of the entries in the ANOVA table have been deleted. Coefficients Standard Error Intercept 366.64 26.35 GMDensity 82.45 27.58 ANOVA df SS (Sums of Squares) MS (Mean Square) Regression 1 245400.47 245400.47 Residuals ?? 1043545.13 ?? Total 39 1288945.60 Answer the questions below using the output above. No working needs to be shown