Question

In: Statistics and Probability

A sociologist conducted a study to determine whether there is a linear relationship between family income...

A sociologist conducted a study to determine whether there is a linear relationship between family income level (in thousand of dollars) and percent of income donated to charities.

Income level                           42        48        50        59        65        72

(in 1000’s of $)

Donating percent                    9          10        8          5          6          3

A) Calculate the correlation coefficient

B) Using = 0.05 is there enough evidence to conclude that there is a significant linear correlation between the income level and the donating percent?

C) Find the centroid

D) Find the regression equation.

E) Find the donating percentage for a person whose income level is 45 thousand. (give units to the answer)

Work shown in step by step and please write clearly by hand. Include the formulas. Thanks

Solutions

Expert Solution

a) From the given data

B) Test for correlation coefficient:

H0: There is no significant linear correlation between the income level and the donating percent

H1: There is a significant linear correlation between the income level and the donating percent

i.e.

Thus we conclude that there is a significant linear correlation between the income level and the donating percent

c) Centroid point is mean of X and Y :

d) Regression Equation:

E) Find the donating percentage for a person whose income level is 45 thousand.

i.e. X = 45

Y = -0.2134*45 +18.7835

    = 9.181 (in 1000’s of $ )


Related Solutions

A recent study was conducted to determine whether there was a relationship between work (X) and...
A recent study was conducted to determine whether there was a relationship between work (X) and education (Y) where 200 people were asked two questions: 1) Are you educated? 2) Are you engaged in what?) The answer should be yes or no. Required: Calculate the coefficient of association with interpretation of the results. education no education work 113 23 no work 49 15
A study was conducted to analyze whether there is a linear relation between the number of...
A study was conducted to analyze whether there is a linear relation between the number of customers who visited a store and the total sales at that store. The following data was collected over a period of 14 days: Number of customers Total Sales(K)    125 35.1 88 28.5 111 30.3 121 36.2 102 33.4 98 30.2 106 31.2    133 44.5 128 39.4 105 32.5 118 33.2 127 40.5 144 58.2 136 41.3    (a)   What is the dependent...
Q 6       A STUDY WAS CONDUCTED TO DETERMINE IF THERE IS A SIGNIFICANT RELATIONSHIP BETWEEN...
Q 6       A STUDY WAS CONDUCTED TO DETERMINE IF THERE IS A SIGNIFICANT RELATIONSHIP BETWEEN THE FREQUENCY OF MEAT SERVED AS A MAIN MEAL PER MONTH FOR INDIVIDUALS LIVING IN THE FOUR SECTIONS OF THE UNITED STATES. A QUESTIONAIRE WAS ADMINISTERED TO A RANDOM SAMPLE OF 400 FAMILIES AND THE RESULTS ARE SUMMARIZED BELOW                                                                                                    ...
A study is conducted to determine the relationship between a driver's age and the number of...
A study is conducted to determine the relationship between a driver's age and the number of accidents he or she has over a 1-year period. The data are shown here. If there is a significant relationship, predict the number of accidents of a driver who is 28. Driver's No. of Age x accidents y 16 3 24 2 18 5 17 2 23 0 27 1 32 1 Predict y' for a specific value of x, if the relationship is...
A study is conducted to determine the relationship between a driver's age and the number of...
A study is conducted to determine the relationship between a driver's age and the number of accidents he or she has over a 1-year period. The data are shown here. If there is a significant relationship, predict the number of accidents of a driver who is 28. Driver's No. of Age x accidents y 16 3 24 2 18 5 17 2 23 0 27 1 32 1 For steps 4 and 5 of the hypothesis testing, what is your...
A study is conducted to determine the relationship between a driver's age and the number of...
A study is conducted to determine the relationship between a driver's age and the number of accidents that he or she has had over a 1-year period. The data from this study is in the table: Age 16 24 18 17 23 27 32 Accidents 3 2 5 2 0 1 1 The correlation coefficient for this problem is There is/ is not evidence of significant correlation at the 5% significance level The best estimate for the number of accidents...
A study is conducted to determine the relationship between a driver's age and the number of...
A study is conducted to determine the relationship between a driver's age and the number of accidents he or she has over a 1-year period. The data are shown here. If there is a significant relationship, predict the number of accidents of a driver who is 28. Driver's No. of Age x accidents y 16 3 24 2 18 5 17 2 23 0 27 1 32 1 1. What is your alternative hypothesis (H1)? 2. Compute the value of...
Belmont and Marolla conducted a study on the relationship between birth order, family size, and intelligence....
Belmont and Marolla conducted a study on the relationship between birth order, family size, and intelligence. The subjects consisted of all Dutch men who reached the age of 19 between 1963 and 1966. These men were required by law to take the Dutch army induction tests, including Raven’s intelligence test. The results showed that for each family size, measured intelligence decreased with birth order: first-borns did better than second-borns, second-borns did better than third-borns, and so on. And for any...
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...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT