Provide an appropriate response. 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.  (a) Find the least square regression line.  Round slope and y-intercept nearest hundredth. (b) Predict the number of absences when the temperature is 88.  (c) Find the residual when the temperature is 98.   Analyze the result.

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Provide an appropriate response.

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. 

(a) Find the least square regression line.  Round slope and y-intercept nearest hundredth.

(b) Predict the number of absences when the temperature is 88. 

(c) Find the residual when the temperature is 98.   Analyze the result.  

(b) Test the claim, at the α = 0.05 level of significance, that a linear relation exists between the temperature and number of absences.  Apply the classical approach and p-value approach.

(c) Find 95 % confidence interval about the slope fo the true least-square regression line.  Interpret the result.  

Expert Solution
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Since you have posted a question with multiple sub-parts, we will solve first three sub-

parts for you. To get remaining sub-part solved please repost the complete question and

mention the sub-parts to be solved.”

 

(a)

 

Use EXCEL to obtain the least-squares line.

 

EXCEL procedure:

 

  1. Go to EXCEL
  2. Go to Data>Data Analysis.
  3. Choose Regression.
  4. Input Y range as $B$1:$B$10.
  5. Input X range as $A$1:$A$10.
  6. Check the option Labels in First row.
  7. Click OK.

 

EXCEL output:

 

Statistics homework question answer, step 1, image 1

Statistics homework question answer, step 1, image 2

 

Thus, the value of slope is 0.45

 

The value of y intercept is –30.27.

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