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A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (x) and numbe


The following is data for the first and second Quiz scores for 8 students in a class. First Quiz (Q1) Second Quiz (Q2) 17 15

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Answer #1

1.

Regression equation of y on x is given by

ឬ = 1,326 + 30.621

For T = 14 , predicted number of sit ups is given by

y = -1.326 * 14+ 30.621 = 12.057 12

2.

Suppose, random variables X and Y denote scores in first and second quiz respectively.

Regression equation of y on x is given by

y- y = byz (1 - 2

Here,

Number of pairs of observation 8=U

1 J = Συ; = Σ9 = 20.625- Σ η 8 =1 i=1

= 23.25 =1

Cou(X,Y) Var(X) = 1.037084

:.y - 20.625 = 1.037084 (1 – 23.25)

y - 20.625 = 1.0370842 1.037084 * 23.25

y = 1.0370843 + 20.625 - 24.1122

\tiny \therefore y=1.037084x-3.4872

Scatter plot with line that best fits the data is as follows.

Scatter plot and line of best fit 28 26 T 24 T 22 > 20 o 18 16 0 14 o 18 20 22 24 26 28 30 X

For = 16 , predicted score in second quiz is given by

\tiny \hat y=1.037084*16-3.4872=13.10614\approx 13

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