Answer: Crickets make a chirping noise by sliding their

Chapter 5, Problem 7CT

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QUESTION:

Crickets make a chirping noise by sliding their wings rapidly over each other. Perhaps you have noticed that the number of chirps seems to increase with the temperature. The following table lists the temperature (in degrees Fahrenheit, \({ }^{\circ} \mathrm{F}\) ) and the number of chirps per second for the striped ground cricket.

(a) What are the estimates of \(\beta_0\) and \(\beta_1\) ? What is the mean number of chirps when the temperature is \(80.2^{\circ} \mathrm{F}\) ?

(b) Compute the standard error of the estimate, \(s_e\).

(c) Determine whether the residuals are normally distributed.

(d) If the residuals are normally distributed, determine \(s_{b_1}\).

(e) If the residuals are normally distributed, test whether a linear relation exists between the explanatory variable, x, and the response variable, y, at the \(\alpha=0.05\) level of significance.

(f) If the residuals are normally distributed, construct a 95% confidence interval for the slope of the true least-squares regression line.

(g) Construct a 90% confidence interval for the mean number of chirps found in part (a).

(h) Predict the number of chirps on a day when the temperature is \(80.2^{\circ} \mathrm{F}\)

.

(i) Construct a 90% prediction interval for the number of chirps found in part (h).

(j) Explain why the predicted number of chirps found in parts (a) and (h) are the same, yet the intervals are different.

Questions & Answers

QUESTION:

Crickets make a chirping noise by sliding their wings rapidly over each other. Perhaps you have noticed that the number of chirps seems to increase with the temperature. The following table lists the temperature (in degrees Fahrenheit, \({ }^{\circ} \mathrm{F}\) ) and the number of chirps per second for the striped ground cricket.

(a) What are the estimates of \(\beta_0\) and \(\beta_1\) ? What is the mean number of chirps when the temperature is \(80.2^{\circ} \mathrm{F}\) ?

(b) Compute the standard error of the estimate, \(s_e\).

(c) Determine whether the residuals are normally distributed.

(d) If the residuals are normally distributed, determine \(s_{b_1}\).

(e) If the residuals are normally distributed, test whether a linear relation exists between the explanatory variable, x, and the response variable, y, at the \(\alpha=0.05\) level of significance.

(f) If the residuals are normally distributed, construct a 95% confidence interval for the slope of the true least-squares regression line.

(g) Construct a 90% confidence interval for the mean number of chirps found in part (a).

(h) Predict the number of chirps on a day when the temperature is \(80.2^{\circ} \mathrm{F}\)

.

(i) Construct a 90% prediction interval for the number of chirps found in part (h).

(j) Explain why the predicted number of chirps found in parts (a) and (h) are the same, yet the intervals are different.

ANSWER:

Step 1 of 11

(a) What are the estimates of  and ? What is the mean number of chirps when the temperature is 80.2°F?

 

x

y

xy

x2

)

)2

 

88.6

20

1772

7849.96

8.56

73.2736

 

93.3

19.8

1847.34

8704.89

93.3

8704.89

 

80.6

17.1

1378.26

6496.36

80.6

6496.36

 

69.7

14.7

1024.59

4858.09

69.7

4858.09

 

69.4

15.4

1068.76

4816.36

69.4

4816.36

 

79.6

15

1194

6336.16

79.6

6336.16

 

80.6

16

1289.6

6496.36

80.6

6496.36

 

76.3

14.4

1098.72

5821.69

76.3

5821.69

 

71.6

16

1145.6

5126.56

71.6

5126.56

 

84.3

18.4

1551.12

7106.49

84.3

7106.49

 

75.2

15.5

1165.6

5655.04

75.2

5655.04

 

82

17.1

1402.2

6724

82

6724

 

83.3

16.2

1349.46

6938.89

83.3

6938.89

 

82.6

17.2

1420.72

6822.76

82.6

6822.76

 

83.5

17

1419.5

6972.25

83.5

6972.25

sum

1200.6

249.8

20127.47

96725.86

1120.56

88949.1736

average

80.04

16.65333

1341.831

6448.391

74.704

5929.944907

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