PSY-380 Introduction to Probability and Statistics Project 3 Answer each question completely. Copy and Paste the SPSS output into the word document for the calculations portion of the problems,...

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Answer To: PSY-380 Introduction to Probability and Statistics Project 3 Answer each question completely. Copy...

Prajna answered on Apr 18 2021
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PSY-380 Introduction to Probability and Statistics
Project 3
Answer each question completely. Copy and Paste the SPSS output into the word document for the calculations portion of the problems, highlighting correct answers. (Please remember to answer the questions you must interpret the SPSS output).
1. A researcher is interested to learn if there is a linear relationship
between the hours in a week spent exercising and a person’s life satisfaction. The researchers collected the following data from a random sample, which included the number of hours spent exercising in a week and a ranking of life satisfaction from 1 to 10 ( 1 being the lowest and 10 the highest).
    Participant
    Hours of Exercise
    Life Satisfaction
    1
    3
    1
    2
    14
    2
    3
    14
    4
    4
    14
    4
    5
    3
    10
    6
    5
    5
    7
    10
    3
    8
    11
    4
    9
    8
    8
    10
    7
    4
    11
    6
    9
    12
    11
    5
    13
    6
    4
    14
    11
    10
    15
    8
    4
    16
    15
    7
    17
    8
    4
    18
    8
    5
    19
    10
    4
    20
    5
    4
    Descriptive Statistics
    
    Mean
    Std. Deviation
    N
    Life_Satisfaction
    5.05
    2.481
    20
    Hours_of_Exercise
    8.85
    3.660
    20
a. Find the mean hours of exercise per week by the participants.
Ans: 8.85 hours
b. Find the variance and standard deviation of the hours of exercise per week by the participants.
Ans: variance = (3.660)2 = 13.3956 hours2 & standard deviation = 3.660 hours
c. Run a bivariate correlation to determine if there is a linear relationship between the hours of exercise per week and the life satisfaction. Report the results of the test statistic using correct APA formatting.
    Correlations
    
    
    Life_Satisfaction
    Hours_of_Exercise
    Pearson Correlation
    Life_Satisfaction
    1.000
    -.103
    
    Hours_of_Exercise
    -.103
    1.000
    Sig. (1-tailed)
    Life_Satisfaction
    .
    .332
    
    Hours_of_Exercise
    .332
    .
    N
    Life_Satisfaction
    20
    20
    
    Hours_of_Exercise
    20
    20

Hypothesis of interest: H0 : ρ = 0 vs. H1 : ρ > 0 or simply, in words, we take the null hypothesis as the correlation between hours of exercise and life satisfaction to be zero against the alternative hypothesis that there is a positive correlation between hours of exercise and life satisfaction.
Clearly, here one tailed test would be appropriate.
From the output above we see that the p-value has come out to be 0.332 which is greater than both 0.05 and 0.01. Hence we fail to reject the null hypothesis at 5% level of significance, even at 1% level of significance.
So, we may conclude that there is hardly any linear relationship between the hours of exercise per week and the life satisfaction as the correlation between them can be considered as zero.
d. Run a linear regression on the data. Report the results, using correct APA formatting. Identify the amount of variation in the life satisfaction ranking that is due to the relationship between the hours of exercise per week and the life satisfaction (Hint: the R2 value)
    Model Summary
    Model
    R
    R Square
    Adjusted R Square
    Std. Error of the Estimate
    Change Statistics
    
    
    
    
    
    R Square Change
    F Change
    df1
    df2
    Sig. F Change
    1
    .103a
    .011
    -.044
    2.535
    .011
    .195
    1
    18
    .664
    a. Predictors: (Constant), Hours_of_Excercise
    
    
    
    
    
The R2 value of 0.011 says that only 1.1% variation in the life satisfaction ranking is due to the relationship between the hours of exercise per week and the life satisfaction.
In fact, the Adjusted R Square value -0.044 implies that it does a terrible job at predicting Life Satisfaction by using the Hours of Exercise per week. Almost none of the variation in Life Satisfaction is explained by one’s Hours of Exercise per week.
e. Report a model of the linear relationship between the two variables using...
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