![]() O it has all the points (except one point) on a straight-line linear pattern. 15 10 25 X From these plots, what is the least suitable plot to fit a simple linear regression model and why? Select an answer because O it has points following an approximately straight-line (linear) pattern O it has points following a curve (non-linear) pattern O it has all the points (except one point) one the same vertical line. The following figures show different scatterplots with different shapes and the same correlation of 0.82 Figure 1 Figure 2 14 12 12 10 10 ! 2 0 15 10 10 15 Figure 3 14 Figure4 12 lo 10. For Data Set A, fill in the blanks of the following statement: Using the regression equation when X= 4, the predicted Y is but looking at the given data set when X= 4, the observed Y is and therefore, the residual error is The following problems are different from what you did on the Excel sheet. For Data Set A, fill in the blanks of the following statement: Using the regression equation when the predicted Y is ![]() There is a strong negative correlation between the X and Y variable, O A 96,5% of the variation in the variable can be explained by the variable g. The slope of the regression line is small so there is a weak correlation between the X and Y variable. ![]() The slope of the regression line is 0.9823. For Data Set C, select All the statements that are true. The smallest correlation coefficient out of the three data sets is f. In Data Set C, if the X value went up by 1.6, then the Y value would change by e. For Data Set C, the proportion of the variation in the y variable that is explained by the x variable (which is the Rsa are) is d. In Data Set B, the slope of the regression line is c. For Data Set A, correlation coefficient is b. Scatterplots, Correlation Simple Linear Regression Follow the Quiz 6 Instructions and use the created scatter plots, regression equations, and correlation coefficients for each of the three data sets to answer the following questions, Round all your answers to 4 decimal places.
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