17.Question 17What does a residual plot help you determine?1 pointIt’s a visual way to see if there is a pattern in your data set.It’s a visual way to see if your coefficients of determination are accurate.It’s a visual way to see if your model needs more input variables.It’s a visual way to see if a linear plot is appropriate.

What is the primary purpose of using a residual plot in regression analysis?To visualize the correlation coefficient.To check for homoscedasticity and linearity.To determine the slope of the regression line.To classify data points

What is the purpose of residual analysis in linear regression?(1 Point)a) To calculate the R-squared value.b) To determine the best-fit line.c) To assess the model's assumptions and identify potential problems.d) To find the p-values for the coefficients.

What does it mean to say that a data point has a residual of 1?A.The point lies 1 unit above the regression line.B.The point lies 1 unit below the regression line.C.The point lies directly on the regression line.D.The x-coordinate of the point is 1.

Let's evaluate our model's results. Generate a scatter plot of the residuals against the fitted values allowing us to visually inspect whether the residuals have constant variance and are distributed randomly around the zero residual line.What does the scatter plot tell us?OptionsThe model has perfect predictive accuracy.The plot indicates homoscedasticity as residuals have a constant variance and are distributed randomly around the zero residual line.There is no linear relationship between the dependent and independent variables.The model suffers from multicollinearity.

What is the purpose of line plots? 1 pointLine plots capture trends and changes over time, allowing us to see patterns and fluctuations.Captures data from chartsDisplays data trends over timeLine plots capture data and changes overtime