Question

In: Statistics and Probability

Exercise 15-59 Static A sociologist wishes to study the relationship between happiness and age. He interviews...

Exercise 15-59 Static

A sociologist wishes to study the relationship between happiness and age. He interviews 24 individuals and collects data on age and happiness, measured on a scale from 0 to 100.

DATA:

Age Happiness
49 62
51 66
41 67
65 71
84 87
41 60
83 86
18 78
36 59
61 63
15 77
86 90
73 70
32 62
84 93
23 72
52 58
72 73
63 63
30 66
72 78
47 60
88 95
69 72


a. Estimate: Happiness = β0 + β1Age + ε. (Round your answers to 2 decimal places.)

  Happiness = _______      +_________Age.


b-1. Choose the hypotheses to determine if age has an impact on happiness.

  • H0: β1 ≥ 0; HA: β1 < 0

  • H0: β1 ≤ 0; HA: β1 > 0

  • H0: β1 = 0; HA: β1 ≠ 0


b-2. Calculate the value of the test statistic. (Round answer to 2 decimal places.)


b-3. Find the p-value.

  • p-value < 0.01

  • 0.01 ≤ p-value < 0.025

  • 0.025 ≤ p-value < 0.05

  • 0.05 ≤ p-value < 0.10

  • p-value ≥ 0.10


c. At the 1% significance level, is Age significant in explaining Happiness?

  • No, since we reject the null hypothesis.

  • Yes, since we reject the null hypothesis.

  • Yes, since we do not reject the null hypothesis.

  • No, since we do not reject the null hypothesis.

Solutions

Expert Solution


Related Solutions

Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 9 18 7 34 Science Fiction 10 12 8 30 Comedy...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 9 13 12 34 Science Fiction 11 11 8 30 Comedy...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 6 17 11 34 Science Fiction 10 9 11 30 Comedy...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 6 13 15 34 Science Fiction 14 11 5 30 Comedy...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 10 18 6 34 Science Fiction 13 10 7 30 Comedy...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 8 15 11 34 Science Fiction 15 12 3 30 Comedy...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 8 17 9 34 Science Fiction 14 11 5 30 Comedy...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 9 16 9 34 Science Fiction 9 10 11 30 Comedy...
Exercise 14-12 (LO14-7) A real estate developer wishes to study the relationship between the size of...
Exercise 14-12 (LO14-7) A real estate developer wishes to study the relationship between the size of home a client will purchase (in square feet) and other variables. Possible independent variables include the family income, family size, whether there is a senior adult parent living with the family (1 for yes, 0 for no), and the total years of education beyond high school for the husband and wife. The sample information is reported below. Family Square Feet Income (000s) Family Size...
Exercise 14-12 (LO14-7) A real estate developer wishes to study the relationship between the size of...
Exercise 14-12 (LO14-7) A real estate developer wishes to study the relationship between the size of home a client will purchase (in square feet) and other variables. Possible independent variables include the family income, family size, whether there is a senior adult parent living with the family (1 for yes, 0 for no), and the total years of education beyond high school for the husband and wife. The sample information is reported below. Family Square Feet Income (000s) Family Size...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT