Which statement best describes this regression where Y= highway miles per gallon (MPG) in 91 cars? R2 Adjusted R2 R Standard Error Source Regression Residual Total Multiple Choice 0.499 0.444 0.707 4.019 Dependent Variable SS 1,305.7251 1,308.3848 2,614.1099 n k df 9 81 90 MS 145.0806 16.1529 91 9 HwyMPG F 8.98 Regression is statistically significant but with large error in the MPG predictions. Regression is statistically significant and has quite small MPG prediction errors. Regression is not quite significant, but predictions should be very good. p-value .0000
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- The data below is for a hypothetical study investigating the Systolic Blood Pressure (SBP) of construction workers. The table shows respective measurements of 20 workers along with hours of work per day and the area of the city the work took place. [You can use Excel-Data Analysis – Regression or http://vassarstats.net/multU.html] SBP Hrs/day Area 109.6 7 east 107.4 8 east 140.3 9 east 146.5 12 east 98.2 6 east 137.8 9 east 124.1 10 east 113.2 8 east 127.8 9 east 125.3 8 east 108.5 6 west 181.3 13 west 137.4 10 west 146.2 10 west 142.4 9 west 123.7 8 west 129.6 8 west 143.6 9 west 160.7 11 west 148.3 9 west a) What is the regression equation? b) Interpret the meaning of the slopes in this problem. d) At the 0.05 level of significance, determine whether each independent variable makes a contribution to the…Find the equation of the regression line for the data based on time spend forstudying and current CGPAListed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 85 mm Hg. Use a significance level of 0.05. Right Arm 101 100 92 79 79 Left Arm 175 168 181 142 144 LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y=enter your response here+enter your response herex. (Round to one decimal place as needed.) Given that the systolic blood pressure in the right arm is 85 mm Hg, the best predicted systolic blood pressure in the left arm is enter your response here mm Hg. (Round to one decimal place as needed.)
- create graph of the two-variable data with a regression line, r, r2, and separate residual plotThe data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 43 inches. Is the result close to the actual weight of 237 pounds? Use a significance level of 0.05. Chest_size_(inches) Weight_ (pounds)50 27954 33944 21954 29240 20136 116 Is the result close to the actual weight of 237 pounds? A. This result is close to the actual weight of the bear. B. This result is very close to the actual weight of the bear. C. This result is not very close to the actual weight of the bear. D. This result is exactly the same as the actual weight of the bear.