From 1 October 2021 to 10 October 2021, the following data displays the cumulative number of booster doses, x, and the number of positive COVID-19 cases, y in Indonesia. Positive cases, y Booster doses, x Date 1/10/2021 11889 20 2/10/2021 3/10/2021 4/10/2021 10915 24 9066 29 8075 149 5/10/2021 8817 253 6/10/2021 9380 289 7/10/2021 9890 355 8/10/2021 9751 962 9/10/2021 8743 981 10/10/2021 7373 983 a) Determine the regression line equation. b) Predict the number of positive cases when the cumulative number of booster doses reach 200 c) Draw the scatter plot.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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From 1 October 2021 to 10 October 2021, the following data displays the cumulative number of
booster doses, x, and the number of positive COVID-19 cases, y in Indonesia.
Positive cases, y
Booster doses, x
Date
1/10/2021
11889
20
2/10/2021
3/10/2021
4/10/2021
10915
24
9066
29
8075
149
5/10/2021
8817
253
6/10/2021
9380
289
7/10/2021
9890
355
8/10/2021
9751
962
9/10/2021
8743
981
10/10/2021
7373
983
a) Determine the regression line equation.
b) Predict the number of positive cases when the cumulative number of booster doses reach 2000.
c) Draw the scatter plot.
d) Draw the best fit line at the scatter plot using regression line equation you obtained in (a).
e) Compute the value of the correlation coefficient and comment.
f) Compute the value of coefficient determination and comment.
Transcribed Image Text:From 1 October 2021 to 10 October 2021, the following data displays the cumulative number of booster doses, x, and the number of positive COVID-19 cases, y in Indonesia. Positive cases, y Booster doses, x Date 1/10/2021 11889 20 2/10/2021 3/10/2021 4/10/2021 10915 24 9066 29 8075 149 5/10/2021 8817 253 6/10/2021 9380 289 7/10/2021 9890 355 8/10/2021 9751 962 9/10/2021 8743 981 10/10/2021 7373 983 a) Determine the regression line equation. b) Predict the number of positive cases when the cumulative number of booster doses reach 2000. c) Draw the scatter plot. d) Draw the best fit line at the scatter plot using regression line equation you obtained in (a). e) Compute the value of the correlation coefficient and comment. f) Compute the value of coefficient determination and comment.
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