Question

In: Statistics and Probability

SPSS: Correlation Use SPSS or Excel to calculate the appropriate correlation coefficient for the following data...

SPSS: Correlation

Use SPSS or Excel to calculate the appropriate correlation coefficient for the following data for “Hours of Exercise” and “Life Satisfaction.” (0 = Not at all satisfied). Provide an APA-style results section write – up. (b) Graph the relationship.
HINT: Below you will find instructions for the APA-style write-up.
Complete the write-up on a word document and upload the file for submission.
Hours of Exercise.   
2
0
5
6
1
2
4
4
3
4
life satisfaction
6
2
13
15
3
6
10
12
8
10

Solutions

Expert Solution

Hours Satisfaction

2

6

0

2

5

13

6

15

1

3

Correlation 0.988842

2

6

4

10

4

12

3

8

4

10

The correlation coefficient is 0.9884. This is obtained by the CORREL(B2:B11,C2:C11) function in EXCEL. This gives a high degree of liner relationship between the hours of exercise and the Life satisfaction. This indicates that the relationship is positive indicating that the higher the exercise hours put, the higher is the life satisfaction. This correlation coefficient is significant (at 5% since the critical value for 8 df is 0.6319).since it is more than the critical value.

(b). The Scatterplot with the trendline drawn is presented below:

We can see clearly that the points are closer to the line.


Related Solutions

Use the following data to calculate and record the correlation coefficient, r. Height (in.) Foot Length...
Use the following data to calculate and record the correlation coefficient, r. Height (in.) Foot Length (in.) 63 10 66 12 62.5 9.4 74 10.5 70 11.3 72 11.3 71 12.5 64 9.1 72 10.9 71 10 74 12.1 67 10 69 11.1 65 9.6 62.8 9 72 11.3 68.8 10.5 69 10 65.3 9 53 7 71 10.3 74 11.7 70 10 72 10.6 72.5 12.8 67 9.5 69 10.9 74 11.6 68 9 70.1 10.1 62 8 77...
Calculate the Coefficient of Correlation and the Least Squares Equation for the following data, hours of...
Calculate the Coefficient of Correlation and the Least Squares Equation for the following data, hours of study (x) and hours of sleep(y). Using your equation, if the hours of study is 5, what is the expected hours of sleep? For any credit, make sure you show your work and submit a PDF or picture of it via the test assignment in Week 5. Hours of Study Hours of Sleep 2 10 6 6 6 5 3 9 2 12
Assume that it is appropriate and meaningful to calculate the correlation coefficient of two variables X...
Assume that it is appropriate and meaningful to calculate the correlation coefficient of two variables X and Y. If the correlation coefficient, r, has a value -0.95 Select one: a. it is impossible to tell if there is a linearly relationship between the two variables b. there is a strong linear relationship between the two variables c. there is no relationship between the two variables d. the slope of the regression line will be -0.95 2. The father's height (in...
Calculate the coefficient of correlation, and interpret the result. (not from software or excel) X Y...
Calculate the coefficient of correlation, and interpret the result. (not from software or excel) X Y 1870 3.38 1330 1.16 1760 1.58 1520 2.65 1300 1.98 1520 2.39 1640 2.49 1490 2.81 1300 2.95 1360 1.69 1940 3.49 1730 2.8 1790 2.95 1780 3.8 1730 2.64 1380 2.36 1580 3.1 1900 1.96 1640 3.08 1540 2.24 1350 2.59 1380 2.43 1780 1.95 1700 2.07 1610 2.34 1720 3.59 2070 3.59 1210 2.12 1720 2.48 1510 2.37 1790 2.1 2100 2.55...
1. Use the following table to calculate the correlation coefficient (r).             and Interpret the results...
1. Use the following table to calculate the correlation coefficient (r).             and Interpret the results in words. Credibility X Persuasion Y 59 64 54 60 59 63 58 72 71 78 55 69 55 69 54 67 2.Explain Type I error
For the following data, calculate the correlation coefficient. (Show the code) Y X 72 45 73...
For the following data, calculate the correlation coefficient. (Show the code) Y X 72 45 73 38 75 41 76 35 77 31 B.Plot the scatterplot of the data above AND add the scatterplot here. (Show code) What type of relationship do you see? Using the information from problem 1 calculate the intercept and   coefficient. Then write the regression equation to explain the relationship. (Show the code) Interpret the R-squared.
Enter the data from the table below into Microsoft Excel and determine the linear correlation coefficient,...
Enter the data from the table below into Microsoft Excel and determine the linear correlation coefficient, R2 for time versus position. Then, calculate y/t and determine the linear correlation coefficient, R2 for time versus y/t. Write in the calculated values in the table below (use two decimal places). Time, t (s) Position, y (cm) Velocity, y/t (cm/s) 0/60 0.00 1/60 2.41 2/60 5.09 3/60 8.08 4/60 11.30 5/60 14.79 6/60 18.56 7/60 22.52 8/60 26.96 9/60 31.56 Determine the linear...
Use SPSS, Excel or Minitab software to answer the following questions. Generate normal random data with...
Use SPSS, Excel or Minitab software to answer the following questions. Generate normal random data with sample size, n = 40, mean = 20 and standard deviation = 11. Write the generated data in the following table. Answer: 1 11 21 31 2 12 22 32 3 13 23 33 4 14 24 34 5 15 25 35 6 16 26 36 7 17 27 37 8 18 28 38 9 19 29 39 10 20 30 40 Conduct the...
Compute the sample correlation coefficient r for each of the following data sets. (Use 3 decimal...
Compute the sample correlation coefficient r for each of the following data sets. (Use 3 decimal places.) (a) x 5 8 9 y 2 2 5 (b) x 2 2 5 y 5 8 9 r(a) = r(b) = x 2 1 2 4 3 y 5 10 9 15 10 (a) Find the linear correlation coefficient r.
Use SPSS to get the appropriate output. Along with providing the SPSS output, use the 5...
Use SPSS to get the appropriate output. Along with providing the SPSS output, use the 5 steps of hypothesis testing to analyze the results by using the p-value approach. 4. Workers went through a training program to help them in the packaging of items needed for the purchaser to assemble a toy. The number of defective packages returned per month is recorded for each employee doing the packaging. Below are the before and after number of defects per month per...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT