Hi how do I solve thisIm self studying statistics and I found this problem online but sadly there was no solutionThank you for any help :) a. Use the data to find the regression equation for predicting memory scores from the percentageof people aged 60-64 who are retired. Do not convert the percentages scores to decimals.b. How much error, on the average, would there be between predicted values from the regressionequation and the actual memory scores?c. Does the regression equation account for a significant portion of the variance in the memoryscores? Use a = .05 to evaluate the F-ratio. There appears to be some evidence suggesting that earlier retirement may lead to memory decline(Rohwedder & Willis, 2010). The researchers gave a memory test to men and women aged 60 to 64years in several countries that have different retirement ages. For each country, the researchersrecorded the average memory score and the percentage of individuals in the 60 to 64 age range whowere retired. Note that a higher percentage retired indicates a younger retirement age for that country.The following data are similar to the results from the study. Use the data to find the regression equationfor predicting memory scores from the percentage of people aged 60 to 64 who are retired.Country% Retired (X) Memory Score (Y)Sweden399.3U.S.A.4810.9England5910.7Germany709.1Spain746.4Netherlands789.1Italy817.2France877.9Belgium888.5Austria919.0

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Description: Hi how do I solve thisIm self studying statistics and I found this problem online but sadly there was no solutionThank you for any help :) a. Use the data to find the regression equation for predicting memory scores from the percentageof people aged

Given data: Country % Retired (X) Memory Score (Y) Sweden 39 9.3 U.S.A 48 10.9 England 59…

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Statistics

a. Use the data to find the regression equation for predicting memory scores from the percentage of people aged 60-64 who are retired. Do not convert the percentages scores to decimals. b. How much error, on the average, would there be between predicted values from the regression equation and the actual memory scores? c. Does the regression equation account for a significant portion of the variance in the memory scores? Use a = .05 to evaluate the F-ratio.

a. Use the data to find the regression equation for predicting memory scores from the percentage of people aged 60-64 who are retired. Do not convert the percentages scores to decimals. b. How much error, on the average, would there be between predicted values from the regression equation and the actual memory scores? c. Does the regression equation account for a significant portion of the variance in the memory scores? Use a = .05 to evaluate the F-ratio.

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Hi how do I solve this

Im self studying statistics and I found this problem online but sadly there was no solution

Thank you for any help :)

a. Use the data to find the regression equation for predicting memory scores from the percentage
of people aged 60-64 who are retired. Do not convert the percentages scores to decimals.
b. How much error, on the average, would there be between predicted values from the regression
equation and the actual memory scores?
c. Does the regression equation account for a significant portion of the variance in the memory
scores? Use a = .05 to evaluate the F-ratio.

There appears to be some evidence suggesting that earlier retirement may lead to memory decline
(Rohwedder & Willis, 2010). The researchers gave a memory test to men and women aged 60 to 64
years in several countries that have different retirement ages. For each country, the researchers
recorded the average memory score and the percentage of individuals in the 60 to 64 age range who
were retired. Note that a higher percentage retired indicates a younger retirement age for that country.
The following data are similar to the results from the study. Use the data to find the regression equation
for predicting memory scores from the percentage of people aged 60 to 64 who are retired.
Country
% Retired (X) Memory Score (Y)
Sweden
39
9.3
U.S.A.
48
10.9
England
59
10.7
Germany
70
9.1
Spain
74
6.4
Netherlands
78
9.1
Italy
81
7.2
France
87
7.9
Belgium
88
8.5
Austria
91
9.0

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