The data below are the temperatures on randomly chosen days during the summer and the number of employee absences at a local company on those days. Test the claim, at the a = 0.05 level of significance, that a linear relation exists between the two variables, Apply classical and traditional approaches. Show step1-step3. Input B1 as "beta1" or "B1". Do not input as "b1". %3D Temperature x 72 85 91 94 100 80 90 78 99 number of absences 3 7 10 10 8 9 4 15 15

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The data below are the temperatures on randomly chosen days during the
summer and the number of employee absences at a local company on those
days. Test the claim, at the a =
0.05 level of significance, that a linear
relation exists between the two variables, Apply classical and traditional
approaches. Show step1-step3.
Input B1 as "beta1" or "B1". Do not input as "b1".
%3D
Temperature x
72 85 91 94 100 80 90 78 99
number of absences
3
7
10 10 8
4
15 15
Transcribed Image Text:The data below are the temperatures on randomly chosen days during the summer and the number of employee absences at a local company on those days. Test the claim, at the a = 0.05 level of significance, that a linear relation exists between the two variables, Apply classical and traditional approaches. Show step1-step3. Input B1 as "beta1" or "B1". Do not input as "b1". %3D Temperature x 72 85 91 94 100 80 90 78 99 number of absences 3 7 10 10 8 4 15 15
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