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2- [OIZ Points] PREVIOUS ANSWERS UHSTATS 14.E.001. A temperature dataset gives y = mean April temperature (Fahrenheit) and x = geographic latitude for 20 U5. cities. The simple linear regression equation for the sample is 9 = 119 - 1.64x. a The value of latitude for a certain city is 42. What is the predicted April temperature for this city? (Round your answer to the nearest tenth.) x degrees Fahrenheit b The mean April temperature for this city is 52. What is the residual for the city? (Round your answer to the nearest tenth.) m x degrees Fahrenheit You may need to use the appropriate table in the Appendix of Tables to answer this question. New Help? @ 4. [1/4 Points] DETAILS PREVIOUS ANSWERS UHSTAT5 14.E.005. MY NOTES ASK YOUR T Suppose that medical researchers use sample data to find a regression line describing the relationship between y = systolic blood pressure and x = age for men between 40 and 60 years old and that the sample regression line is expressed with the following equation. Mean systolic blood pressure = 85 + 0.8(Age) (a) Give the value of slope. (Round your answer to the nearest tenth.) Choose a sentence that interprets slope in the context of this situation. O Mean blood pressure increases 0.8 points per each 1-year decrease in age. Mean blood pressure increases 85 points per each 1-year increase in age . Mean blood pressure increases 0.8 points per each 1-year increase in age. O Mean blood pressure increases 85 points per each 1-year decrease in age. (b) Estimate the mean systolic blood pressure of men who are 49 years old. (Round your answer to the nearest tenth.) c) Suppose that the systolic blood pressure of a 49- year-old man is 119.3. What is the value of the residual for this man? (Round your answer to the nearest tenth.) You may need to use the appropriate table in the Appendix of Tables to answer this question. Need Help? Talk to a Tutor5. [1/4 Points] DETAILS PREVIOUS ANSWERS UHSTAT5 14.E.007. MY NOTES ASK Y Heights and answers to the question "How much would you like to weigh?" were recorded for n = 126 women in a college statistics class. A regression equation for y = desired weight (in pounds) and x = height (in inches) is expressed by the following equation. Mean desired weight = -67.5 + 3.10 (Height) (a) What is the value of the slope of this regression equation?. (b) Choose a sentence that explains what the slope shows about the linear relationship between desired weight and height for these women. Mean desired weight increases 3.10 pounds per each 1-inch decrease in height. . Mean desired weight increases 3.10 pounds per each 1-inch increase in height. Mean desired weight increases -67.5 pounds per each 1-inch decrease in height. Mean desired weight increases -67.5 pounds per each 1-inch increase in height. (c) Choose the proper notation for the slope of this equation. o b1 O B1 (d) What is the estimated mean desired weight for college women who are 69 inches tall? (Round the answer to the nearest tenth.) Ibs You may need to use the appropriate table in the Appendix of Tables to answer this question. Need Help? Talk to a Tutor