The data in the table below shows the times (in days) that an artist spent recording an album and the score (out of 100) the album subsequently received in a popular music magazine. Time (Days) Score 4 36 41 87 23 67 19 62 1 23 11 18 52 61 13 43 18 8 65 52

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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The data in the table below shows the times (in days) that an artist spent recording an album and the score
(out of 100) the album subsequently received in a popular music magazine.
Time (Days)
Score
100
90
80
70
60
50
40
30
20
10
0
4
0
36
41 87
The scatter plot of this data is shown below
5
23
67
10
19
15
62
1
23
Score Obtained vs Time Spent Recording
20
11 18
52
(b) Identify the independent (or explanatory) variable
25
(a) Label each axes of the scatter plot in the boxes provided
61
30
13
43
35
18
65
8
52
40
Transcribed Image Text:The data in the table below shows the times (in days) that an artist spent recording an album and the score (out of 100) the album subsequently received in a popular music magazine. Time (Days) Score 100 90 80 70 60 50 40 30 20 10 0 4 0 36 41 87 The scatter plot of this data is shown below 5 23 67 10 19 15 62 1 23 Score Obtained vs Time Spent Recording 20 11 18 52 (b) Identify the independent (or explanatory) variable 25 (a) Label each axes of the scatter plot in the boxes provided 61 30 13 43 35 18 65 8 52 40
(c) The equation of the least squares regression line for the data in the scatterplot is:
score = 1.62 x time + 30.8
(with r = 0.94)
From this information comment on the strength and direction of the correlation, and justify
your answers
(ii)
(i)
Interpret the slope of this least squares regression line in terms of the variables score and
time.
Transcribed Image Text:(c) The equation of the least squares regression line for the data in the scatterplot is: score = 1.62 x time + 30.8 (with r = 0.94) From this information comment on the strength and direction of the correlation, and justify your answers (ii) (i) Interpret the slope of this least squares regression line in terms of the variables score and time.
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