When simple linear regression is used to analyze a data set, we get total variation = 7492.4 and unexplained variation (SSE) = 888.96. What is the coefficient of determination? (round to 2 decimal places)

A financial analyst wants to determine the relationship between a company's earnings per share (EPS, Y, in dollars) and its revenue (X, in million dollars). Assuming a linear relationship between Y and X, the analyst used the least-squares method and found that the Y-intercept = 1.75 and the slope = 0.42. Also, the sum of squares total (SST) and the error sum of squares (SSE) were equal to 82000.12 and 15200.43, respectively.Based on this information, what is the coefficient of determination? Round your final answer to four decimal places. Note: don't put your answer in percentage form.

In a simple linear regression model analyzing the impact of temperature (X) on ice cream sales (Y), if the Sum of Squares Total (SST) is 500 and the Sum of Squares Regression (SSR) is 350, what is the proportion of variation in ice cream sales explained by the regression model? And also find the Coefficient of Determination? Question 12Answera.The regression model explains 30% of the variation in ice cream sales, with a Coefficient of Determination significantly greater than the model explains.b.The regression model explains 70% of the variation in ice cream sales, with a Coefficient of Determination same as the model explains.c.The proportion of variation explained cannot be determined from the information provided, but have a Coefficient of Determination same as the model explains.

Which of the following best describes the coefficient of determination?Group of answer choicesThe coefficient of determination describes the percentage of variation in the y variable unexplained by the linear regression model on the x variable.•           The coefficient of determination describes the direction of variation in the y variable explained by the linear regression model on the x variable.The coefficient of determination describes the percentage of variation in the y variable explained by the linear regression model on the x variable.The coefficient of determination describes the percentage of variation in the x variable explained by the linear regression model on the y variable.

Which of the following is the correct interpretation for 0.60 coefficient of determination? a. 60% of the variation in the X values is explained by the variation in the Y values. b. 40% of the variation in the Y values is explained by the variation in the X values. c. The relationship between Y and X is very weak d. 60% of the variation in the Y values is explained by the variation in the X values.

Consider a simple linear regression model where total variation = 1235, explained variation = 1068, and b1 = -2.44. What is the sample correlation coefficient between x and y?Multiple choice question.- 0.9300.865- 0.8650.930