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.

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: 

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: