Compact SUV Hybrid Total LOW 652 248 100 1000 Middle 512 388 100 1000 Upper 317 580 103 1000 72 99 1000 112 102 4000 The

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Compact Suv Hybrid Total Low 652 248 100 1000 Middle 512 388 100 1000 Upper 317 580 103 1000 72 99 1000 112 102 4000 The 1 (24.4 KiB) Viewed 24 times

Compact Suv Hybrid Total Low 652 248 100 1000 Middle 512 388 100 1000 Upper 317 580 103 1000 72 99 1000 112 102 4000 The 2 (23.68 KiB) Viewed 24 times

Compact SUV Hybrid Total LOW 652 248 100 1000 Middle 512 388 100 1000 Upper 317 580 103 1000 72 99 1000 112 102 4000 The contingency table above is from a survey in which 4000 people were asked what kind of cat they would prefer to buy a compac SUV or a Hrid Themes low.midde upper, or hass. The conditional distribution of the probabilities someone wants to buy a compact SUV and Hybrid car given the income status is shown Low Mode Upper HO Compact 0.652 0.512 SUV 0.248 0388 0580 0.72 Hybrid 0 100 100 0103 0.000 Total 1 1 1 1 0312 a) From the conditional distribution table, does there appear to be a correlation between income status and preference towards buyng a compt so, what is in no why not? h) From the conditional distribution table, does there appear to be a correlation between income status and preference towards buying a hybridit so what is not why not?

Wightin pounds) 140 160 150 200 220 180 120 230 320 Cholesterol Level 120 110 170 180 200 200 150 190 130 The above is a survey a physician took of their patients for what the weight in pounds and their cholesterol level. The physician wars to create a finear regression equation for pricing cholesterol () based on weight ) ning this dat a) Recall from earlier that the linear correlation coefficient of these nine patients is 0.093, and the person who weighs 320 pounds is removed the linear corretto contra Does this suggest that this patient is an influential value towards the linear correlation coefficient? Why or why nor? by if the person who weighs 180 pounds and has a cholesterol level of 150 is removed, the near correlation coeficient goes troms 0.003 to 20.0796. Does this point is be influential value towards the linear correlation coefficient? Why or why?