Annual high temperatures in a certain location have been tracked for several years. Let X represent the number of years after 2000 and Y the high temperature. Based on the data shown below, calculate the linear regression equation using technology (each constant to one decimal place). y 33.99 37.78 37.27 4 37.16 5 37.65 6 40.54 7 8 9 10 11 X 1 2 3 41.13 42.52 40.11 41.9 45.69 The equation in y-ax+b form is Interpret the y-intercept of the equation: O For each additional 0.9 years, the annual high temperature will increase by 1 degree on average. O For each additional 34.3 years, the annual high temperature will increase by 1 degree on average. O For each additional year, the annual high temperature will increase by 0.9 degrees on average. O For each additional year, the annual high temperature will increase by 34.3 degrees on average.
Annual high temperatures in a certain location have been tracked for several years. Let X represent the number of years after 2000 and Y the high temperature. Based on the data shown below, calculate the linear regression equation using technology (each constant to one decimal place). y 33.99 37.78 37.27 4 37.16 5 37.65 6 40.54 7 8 9 10 11 X 1 2 3 41.13 42.52 40.11 41.9 45.69 The equation in y-ax+b form is Interpret the y-intercept of the equation: O For each additional 0.9 years, the annual high temperature will increase by 1 degree on average. O For each additional 34.3 years, the annual high temperature will increase by 1 degree on average. O For each additional year, the annual high temperature will increase by 0.9 degrees on average. O For each additional year, the annual high temperature will increase by 34.3 degrees on average.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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
Transcribed Image Text:Annual high temperatures in a certain location have been tracked for several years. Let X represent the
number of years after 2000 and Y the high temperature. Based on the data shown below, calculate the
linear regression equation using technology (each constant to one decimal place).
X
1
2
3
4
5
6
7
8
9
10
11
y
33.99
37.78
37.27
37.16
37.65
40.54
41.13
42.52
40.11
41.9
45.69
The equation in y-ax+b form is
Interpret the y-intercept of the equation:
O For each additional 0.9 years, the annual high temperature will increase by 1 degree on average.
For each additional 34.3 years, the annual high temperature will increase by 1 degree on average.
O For each additional year, the annual high temperature will increase by 0.9 degrees on average.
O For each additional year, the annual high temperature will increase by 34.3 degrees on average.
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