Question

In: Statistics and Probability

You want to determine if there is a linear relationship between mental health and physical health....

You want to determine if there is a linear relationship between mental health and physical health. You have several people assessed by a psychologist and a medical doctor. The psychologist assess mental health (ment) on a scale of 1-30 (higher numbers mean better mental health) and the medical doctors rated their overall physical health (phys) from 1-30 (higher numbers mean better health). You obtain the data below. (note: there is more information than you need)

Person   MENT   PHYS   + -

Rank  

MENT

Rank  

PHYS

MENT*PHYS   MENT2   PHYS2  
1 16 17 + 6 7 272 256 289
2 17 16 - 5 8 272 289 256
3 12 20 + 9 5 240 144 400
4 18 23 + 4 3 414 324 529
5 19 25 + 3 2 475 361 625
6 20 21 + 2 4 420 400 441
7 15 19 + 7 6 285 225 361
8 14 15 + 8 9 210 196 225
9 23 28 + 1 1 644 529 784
10 11 14 + 10 10 154 121 196
MEAN 16.5 19.8 5.5 5.5 338.6 284.5 410.6
Variance 13.61111 20.62222 231 231 863867.26 609935.62 1273662.67

Determine the equation for the least squares regression line predicting mental health from physical health.

ΣY =

ΣX =

ΣY2 =

ΣX2 =

ΣXY =

SSXY =

SSX =

SSY =

N =

b =

mean of X =

mean of Y =

a =

type your final regression line in this box

What distance above and below the regression line would capture approximately 96% of the data points

If someone's physical health score was 15 what would you predict for their mental health score?   

What is the correlation between mental health ad physical health   

How much variance in mental health can be explained by physical health?   

Explain this correlation in plain terms that someone who knew nothing about statistics would understand   

Solutions

Expert Solution

Person   PHYS (X) MENT (Y) X^2 XY Y^2
1 17 16 289 272 256
2 16 17 256 272 289
3 20 12 400 240 144
4 23 18 529 414 324
5 25 19 625 475 361
6 21 20 441 420 400
7 19 15 361 285 225
8 15 14 225 210 196
9 28 23 784 644 529
10 14 11 196 154 121
SUM 198 165 4106 3386 2845

Observation Predicted Y Residuals Resdual ^2
1 14.70474138 1.295258621 1.677694894
2 14.06357759 2.936422414 8.622576592
3 16.62823276 -4.628232759 21.42053847
4 18.55172414 -0.551724138 0.304399524
5 19.83405172 -0.834051724 0.695642279
6 17.26939655 2.730603448 7.456195192
7 15.98706897 -0.987068966 0.974305143
8 13.42241379 0.577586207 0.333605826
9 21.7575431 1.242456897 1.54369914
10 12.78125 -1.78125 3.172851563
SUM 46.20150862

Interpretation of correlation: The correlation coefficient tells the strength of association between two values that vary with each other. In this case, the physical and mental health ratings by the doctors are assessed independently, and then we try to ascertain if one can be predicted from the other. Correlation is measured from -1 to +1, where -1 would indicate a strong negative linear relation i.e. one decreases as the other increases, 0 would mean no correlation and +1 would mean a strong (perfect) positive linear relationship.

Link to excel on which values were obtained: https://drive.google.com/file/d/1iXtbYBXIUeS5BKz1zo6jl3j_zYD0x8fA/view?usp=sharing


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