Find the correlation coefficient and report it accurate to three decimal places. What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place. (If the answer is 0.84471, then it would be 84.5%...you would enter 84.5 without the percent symbol.) r² = % Based on the data, calculate the regression line (each value to three decimal places) y = X +
Find the correlation coefficient and report it accurate to three decimal places. What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place. (If the answer is 0.84471, then it would be 84.5%...you would enter 84.5 without the percent symbol.) r² = % Based on the data, calculate the regression line (each value to three decimal places) y = X +
Chapter4: Linear Functions
Section: Chapter Questions
Problem 30PT: For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or...
Related questions
Question
![Run a regression analysis on the following bivariate set of data with y as the response variable.
X
y
71.5
4.4
77.1
-6.7
-52.2
-7.8
88
13.8
75.3
33
64.5
32.4
76
85.6
67.5
53.4
78.3
45.5
-11.4
Find the correlation coefficient and report it accurate to three decimal places.
r =
y =
38.2 64.6
64.9
17.5
73.4
What proportion of the variation in y can be explained by the variation in the values of x? Report answer as
a percentage accurate to one decimal place. (If the answer is 0.84471, then it would be 84.5%...you would
enter 84.5 without the percent symbol.)
r² =
X +
Based on the data, calculate the regression line (each value to three decimal places)
Predict what value (on average) for the response variable will be obtained from a value of 72.2 as the
explanatory variable. Use a significance level of a = 0.05 to assess the strength of the linear correlation.
What is the predicted response value? (Report answer accurate to one decimal place.)
y =](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F56888ea7-2c48-4c08-b7fb-3bfa96ffdacf%2F27f5393a-310a-4a0d-bf54-fae12918f593%2Fn29rv3q_processed.png&w=3840&q=75)
Transcribed Image Text:Run a regression analysis on the following bivariate set of data with y as the response variable.
X
y
71.5
4.4
77.1
-6.7
-52.2
-7.8
88
13.8
75.3
33
64.5
32.4
76
85.6
67.5
53.4
78.3
45.5
-11.4
Find the correlation coefficient and report it accurate to three decimal places.
r =
y =
38.2 64.6
64.9
17.5
73.4
What proportion of the variation in y can be explained by the variation in the values of x? Report answer as
a percentage accurate to one decimal place. (If the answer is 0.84471, then it would be 84.5%...you would
enter 84.5 without the percent symbol.)
r² =
X +
Based on the data, calculate the regression line (each value to three decimal places)
Predict what value (on average) for the response variable will be obtained from a value of 72.2 as the
explanatory variable. Use a significance level of a = 0.05 to assess the strength of the linear correlation.
What is the predicted response value? (Report answer accurate to one decimal place.)
y =
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