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c. How do you interpret the slope of the estimated simple linear regression model which describes the linear relationship between COVID-19 cases (x) and COVID-19 deaths (y)? ✓ [Select] There is an expected increase of 7 in y for every unit increase in x. There is an expected increase of 0.019 in x for every unit increase in y. There is an expected increase of 0.019 in y for every unit increase in x. There is an expected increase of 7 in x for every unit increase in y.

c. How do you interpret the slope of the estimated simple linear regression model which describes the linear relationship between COVID-19 cases (x) and COVID-19 deaths (y)? ✓ [Select] There is an expected increase of 7 in y for every unit increase in x. There is an expected increase of 0.019 in x for every unit increase in y. There is an expected increase of 0.019 in y for every unit increase in x. There is an expected increase of 7 in x for every unit increase in y.

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 94E
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Suppose that the table shows the COVID-19 cases and deaths in some NCR cities during the COVID-19 surge. COVID-19 cases (X) COVID-19 deaths (Y) 820 8 560 6 470 2 onship 680 4 660 5 1100 15 c. How do you interpret the slope of the estimated simple linear regression model which describes the linear relationship between COVID-19 cases (x) and COVID-19 deaths (y)? ✓ [Select] There is an expected increase of 7 in y for every unit increase in x. There is an expected increase of 0.019 in x for every unit increase in y. There is an expected increase of 0.019 in y for every unit increase in x. There is an expected increase of 7 in x for every unit increase in y. >
Transcribed Image Text:Suppose that the table shows the COVID-19 cases and deaths in some NCR cities during the COVID-19 surge. COVID-19 cases (X) COVID-19 deaths (Y) 820 8 560 6 470 2 onship 680 4 660 5 1100 15 c. How do you interpret the slope of the estimated simple linear regression model which describes the linear relationship between COVID-19 cases (x) and COVID-19 deaths (y)? ✓ [Select] There is an expected increase of 7 in y for every unit increase in x. There is an expected increase of 0.019 in x for every unit increase in y. There is an expected increase of 0.019 in y for every unit increase in x. There is an expected increase of 7 in x for every unit increase in y. >
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