Which of the 2 predictors, Gest or Weight, is a better predictor of Height?
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Which of the 2 predictors, Gest or Weight, is a better predictor of Height?
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- Find the least-squares regression line treating square footage as the explanatory variable. y = (Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.)A U.S. state's Bureau of Economic Geology published a study on the economic impact of using carbon dioxide enhanced oil recovery (EOR) technology to extract additional oil from fields that have reached the end of their conventional economic life. The following table gives the approximate number of jobs for the citizens that would be created at various levels of recovery. Percent Recovery (%) 20 40 80 100 Jobs Created (Millions) 6 9 12 18 Find the regression line. j(r) = Use the regression line to estimate the number of jobs that would be created at a recovery level of 60%. _____ million jobsThe table shows the total square footage (in billions) of retailing space at shopping centers and their sales (in billions of dollars) for 10 years. The equation of the regression line is ModifyingAbove y=589.637x−2143.147. Complete parts a and b. Total Square Footage, x 5.1 5.2 5.3 5.4 5.6 5.7 5.9 5.9 6.1 6.1 Sales, y 858.5 940.1 992.7 1064.6 1122.8 1203.5 1275.1 1339.3 1435.2 1533.3 (a) Find the coefficient of determination and interpret the result. nothing (Round to three decimal places as needed.)
- Compute the sum-of-squares error (SSE) by hand for the given set of data and linear model. (4, 4), (7, 7), (9, 10); y = x − 1A statistics professor wanted to know if there was a relationship between the midterm exam grade and the final exam grade of students. Data was obtained for 10 students: Student Midterm exam grade Final exam grade 1 65 74 2 68 73 3 71 71 4 75 80 5 75 83 6 85 85 7 88 90 8 95 94 9 97 99 10 100 98 D. Calculate the residual for x = 95. Use equation to 3 decimal places. Report answer to 3 decimal places.A regression analysis between weight (y in pounds) and height (x in inches) resulted in following least squares line: y^= 120+5x. this implies that if the height is increased by 1 inch, the weight is expected ?
- Draw the scatter plot and compute the predicted equation of the line using the least square Regression line method.Show all the steps, do not just write the answer. X 0 1 3 4 7 Y 7 5 4 3 2Use the general equation for the least square regression line to show that this line always passes through the point (x,y) * bars above the x and y.That is, set x=x(with a bar above the x) and show that the line predicts that y=y (with a bar above the y).Suppose that a least squares regression line equation is ˆy = 1.65 − 2.20x and the actual y value corresponding to x = 10 is −19, what is the residual value corresponding to y = −19?
- In general, what is true about the relationship between the Sum of Squared Residuals in the restricted and unrestricted model? a. SSRr < SSRur b. SSRr > SSRur c. SSRr = SSRur d. SSRr = R-squared * SSRurA set of paired data has a least squares regressionline with equation yn = 0.50x + 2.0 and a correlationcoefficient of r = 0.80. Suppose we convert the datafor each variable to z-scores and then compute the newregression line. What will the equation be?A) zˆy = 0.50zx B) zˆy = 0.64zxC) zˆy = 0.80zx D) zˆy = 0.50zx + 20E) zˆy = 0.80zx + 20The table contains data on vehicle speed (h) and fuel consumption (lt / 100km) of 5 randomly selected vehicles. Estimate the average fuel consumption of a vehicle traveling at 45 km / h using the simple linear regression equation between vehicle speed and fuel consumption. Speed 55 60 65 70 75 Consumption 11 10 9 8 7 Please choose one: a. 6 b. 5 c. 13 D. 8