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A medical statistician wanted to examine the relationship between the amount of sunshine (x) and incidence of skin cancer (v). As an experiment he found the number of skin cancers detected per 100,000 of population and the average daily sunshine in eight counties around the country. These data are shown below. | Average Daily Sunshine Skin Cancer per 100,000 6: 7 9 6 4 9: 12: 15: 10: 7 7 11 5 Draw a scatter plot and find the least squares regression line. ỹ =

A medical statistician wanted to examine the relationship between the amount of sunshine (x) and incidence of skin cancer (v). As an experiment he found the number of skin cancers detected per 100,000 of population and the average daily sunshine in eight counties around the country. These data are shown below. | Average Daily Sunshine Skin Cancer per 100,000 6: 7 9 6 4 9: 12: 15: 10: 7 7 11 5 Draw a scatter plot and find the least squares regression line. ỹ =

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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A medical statistician wanted to examine the relationship between the amount of sunshine (x) and incidence of skin cancer (v). As an experiment he found the number of skin cancers detected per 100,000 of population and the average daily sunshine in eight counties around the country. These data are shown below. 2. Average Daily Sunshine Skin Cancer per 100,000 6: 7 S 6 4 9: 12: 15: 10 3 ?: 11 5 Draw a scatter plot and find the least squares regression line. ỹ =
Transcribed Image Text:A medical statistician wanted to examine the relationship between the amount of sunshine (x) and incidence of skin cancer (v). As an experiment he found the number of skin cancers detected per 100,000 of population and the average daily sunshine in eight counties around the country. These data are shown below. 2. Average Daily Sunshine Skin Cancer per 100,000 6: 7 S 6 4 9: 12: 15: 10 3 ?: 11 5 Draw a scatter plot and find the least squares regression line. ỹ =
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