ello, I really need help with solving this problem. Can you please show ALL your work for each step? I need to be able to duplicate the work by myself. Thank you so much. 1) The data below shows the scores a sample of husbands and their wives received when given a happiness test to determine their ‘happiness’ in the relationship. Couple 1 2 3 4 5 6 7 8 9 10 Husband 50 65 72 18 45 98 77 85 50 82 Wives 60 55 60 25 80 80 70 80 70 50 Run a Hypothesis test to determine if there IS a linear correlation in the population of all husbands and wives at the 5% significance level: You may use any appropriate hypothesis test method. a. State Hypothesis (in symbols): b. Null:
Hello, I really need help with solving this problem. Can you please show ALL your work for each step? I need to be able to duplicate the work by myself. Thank you so much.
1) The data below shows the scores a sample of husbands and their wives received when given a happiness test to determine their ‘happiness’ in the relationship.
|
Couple |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
|
Husband |
50 |
65 |
72 |
18 |
45 |
98 |
77 |
85 |
50 |
82 |
|
Wives |
60 |
55 |
60 |
25 |
80 |
80 |
70 |
80 |
70 |
50 |
Run a Hypothesis test to determine if there IS a
a. State Hypothesis (in symbols):
b. Null:
H0: There is no significant linear correlation in the population of all husbands and wives.
c. Alternate:
Ha: There is a significant linear correlation in the population of all husbands and wives.
d. Test Statistic:
e. Critical value(s):
f. Initial conclusion:
g. Formal Conclusion:
h. Find the regression line (even if there isn’t a correlation in the population)
i. Write the meaning of the slope of the regression line:
j. Find the best-predicted score a wife would have if her husband scored 50:
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