ZuoTi.Pro
Question

DESCRIPTIVE STATISTICS: Create a table of descriptive statistics with an appropriate tabular format. See the Output...

  1. DESCRIPTIVE STATISTICS: Create a table of descriptive statistics with an appropriate tabular format. See the Output A[2 pt].

  1. STATISTICAL RESULTS: Report and statistically interpret the results with an appropriate tabular format and text. See the Output B. [6 pt]

  1. DISCUSSION: Discuss what the results imply. [2 pt]

Output A. Descriptive statistics

Statistics

Exam Performance (%)

Exam Anxiety

N

Valid

103

103

Missing

0

0

Mean

56.57

74.3437

Median

60.00

79.0440

Std. Deviation

25.941

17.18186

Minimum

2

1.00

Maximum

100

100.00

Output B. Simple Linear Regression Results

Correlations

Exam Performance (%)

Exam Anxiety

Pearson Correlation

Exam Performance (%)

1.000

-.441

Exam Anxiety

-.441

1.000

Sig. (1-tailed)

Exam Performance (%)

.

.000

Exam Anxiety

.000

.

N

Exam Performance (%)

103

103

Exam Anxiety

103

103

Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.441a

.194

.186

23.397

a. Predictors: (Constant), Exam Anxiety

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

95.0% Confidence Interval for B

B

Std. Error

Beta

Lower Bound

Upper Bound

1

(Constant)

106.071

10.285

10.313

.000

85.667

126.474

Exam Anxiety

-.666

.135

-.441

-4.938

.000

-.933

-.398

a. Dependent Variable: Exam Performance (%)
math   Statistics-And-Probability   
0 0
Add a comment Improve this question Transcribed image text
Next > < Previous
Sort answers by oldest

Homework Answers

Answer #1

From Output B we can say that the correlation coefficient between Anxiety and Exam performance is -0.441 which means more the anxiety less the exam performance (%)

Also P value= 0.000 which is less than the level of significance (0.05) therefore significant hence we can conclude that there is correlation between anxiety and exam Performance (%)

Also from third table of Output B the regression equation is

y(hat)= 106.071+ -0.666*Exam anxiety

This equation means for a unit increase in anxiety there is down of 0.666 scores percentage in exam.

If we do testing of regression coefficients ( and ) we will find that p value is 0.000 which is less than the level of significance (0.05) therefore SIGNIFICANT.

R square= 0.194 which indicates that the model explains 19.4% of the variability of the response data around its mean.

0 0
Add a comment
Know the answer?
Add Answer to:
DESCRIPTIVE STATISTICS: Create a table of descriptive statistics with an appropriate tabular format. See the Output...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions

  • DISPLAY A Descriptives Descriptive Statistics N Minimum Maximum Mean Std. Deviation 1.376 72.673 ...

    DISPLAY A Descriptives Descriptive Statistics N Minimum Maximum Mean Std. Deviation 1.376 72.673 EXPENDITURE 48 3.656 9.774 5.946 SAT 48 854.000 1107.000 970.563 Valid N (listwise) 48 Model Summary Model R R Square Adjusted R Std. Error of Square the Estimate 65.492 453 205 188 a Predictors: (Constant), EXPENDITURE ANOVA Model F Sig. Sum of df Mean Square Squares 50920.77 11.872 0.001 4289.197 1 Regression 50920.77 1 Residual 197303.00 46 Total 248223.80 47 a Predictors: (Constant), EXPENDITURE b Dependent Variable:...

  • Model Summary Adjusted R Square Std. Error of the Estimate Model R R Square 1 .843a...

    Model Summary Adjusted R Square Std. Error of the Estimate Model R R Square 1 .843a .711 .707 7.812812 a. Predictors: (Constant), Fuel efficiency, Horsepower Coefficientsa Standardized Coefficients Beta Sig 2.354 .020 Unstandardized Coefficients Model B Std. Error 1 (Constant) 28.144 11.954 Horsepower 229 .013 Length - 219 Fuel efficiency -.090 .185 a. Dependent Variable: Price in thousands .906 16.989 ,000 .050 - 205 -4.348 .000 -.027 -.488 .627 Model Summary Adjusted R Square Std. Error of the Estimate Model...

  • WERE depression /METHOD-ENTER daddrink momdrink DIF. Regression 214 Descriptive Statistics Mean Std. Deviation 4.0514 4.13188 2.5234...

    WERE depression /METHOD-ENTER daddrink momdrink DIF. Regression 214 Descriptive Statistics Mean Std. Deviation 4.0514 4.13188 2.5234 3.09428 9673 1.73445 15.2103 6.02870 depression total fsmast momdrink DIF 214 214 214 Pearson Correlation depression total fsmast momdrink -104 .011 1.000 038 momdrink DIF 471 .111 038 1.000 .000 .053 291 DIF Sig. (1-tailed) 064 Correlations depression total fsmast 1.000 227 227 1.000 104 .011 -471 .111 .000 .000 .064 436 .000 .053 214 214 214 214 214 214 214 depression total fsmast...

  • 15.2 Spssx output With each hybrid automobile model, prepare a summary that does the following: 2....

    15.2 Spssx output With each hybrid automobile model, prepare a summary that does the following: 2. Interprets the directional of the relationship of each statistically significant independent variable with respect to the preference for the hybrid model concerned. Coefficients Sig Model Unstandardized Coefficients t Standardized Coefficients Std. Error Beta 000 13.795 6.981 506 3.694E-007 3.383 001 101 .000 -1.315 .098 .531 -13.442 .000 339 -115 .086 -2.953 .003 5 -.026 .004 -260 -6.220 .000 -219 042 -291 -5.207 000 3.073E-006...

  • Investigate the relationship between the respondent’s education (EDUC) and the education received...

    Investigate the relationship between the respondent’s education (EDUC) and the education received by his or her father and mother (PAEDUC and MAEDUC, respectively). Calculate the correlation coefficient, the coefficient of determination, and the regression equation predicting the respondent’s education with father’s education only. Interpret your results. Determine the multiple correlation coefficient, the multiple coefficient of determination, and the regression equation predicting the respondent’s education with father’s and mother’s education. Interpret your results. Did taking into account the respondent’s mother’s education...

  • 6. Interpreting statistical software output in regression Aa Aa Suppose you work in the admission...

    6. Interpreting statistical software output in regression Aa Aa Suppose you work in the admissions department of a small liberal arts college. You wonder if you can predict students' college grade point averages (GPAs) by their SAT scores. You randomly select 50 recent graduates and collect their SAT scores and college GPAs. You use a statistical software package to run a regression predicting college GPA from SAT score. Use the following output to answer the questions that follovw Descriptive Statistics...

  • The following questions refer to the output shown below. Researchers used temperature to predict failure time...

    The following questions refer to the output shown below. Researchers used temperature to predict failure time for a superconductive material with the following a. Write the regression equation based on the results shown below. b. Assess the model utility. linear model: yˆ = β0 + β1xtemp Write the regression equation based on the results shown below. Would you recommend the model? Why or why not? Model Summary Adjusted R Model R R Square Square .918a .843 .835 a. Predictors: (Constant),...

  • Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .884a...

    Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .884a .782 .775 1134.08895 a. Predictors: (Constant), Tuition2000 Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 1133.148 701.455 1.615 .116 Tuition2000 1.692 .160 .884 10.551 .000 a. Dependent Variable: Tuition2008 What is the regression equation? What is the percent of variation in BMI explained by the regression line? Predict 2008 Tuition for Oregon given their 2000 tuition rate. Predict...

  • Now consider the following output: Coefficients Unstandardized Coefficients B Std. Error Standardized Coefficients Beta Model t...

    Now consider the following output: Coefficients Unstandardized Coefficients B Std. Error Standardized Coefficients Beta Model t Sig. 1 1.060 .000 (Constant) JobSat Conscience 11.657 .070 -2.237 250 .026 10.992 279 -8.611 .781 260 -.817 .000 a. Dependent Variable: CWB 6. After seeing this output table above, which predictor(s) is/are significant in the multiple regression equation? Conscience 7. Write the results for the unstandardized coefficients in this multiple regression in APA format. a. b. 8. Interpret the results from the table...

  • Model Summary Change Statistics Adjusted Std. Enor of R Square Model R R Square Square the Estimate 657 432 29042057161...

    Model Summary Change Statistics Adjusted Std. Enor of R Square Model R R Square Square the Estimate 657 432 2904205716161 4 32 a. Predictors: (Constant, eigencentrality, Average 15All optimice_threshold_b F Changed 3.0393 Sig F Change .071 12 ANOVA Sig 071 Sum of Model Squares Mean Square Regression 1.612 537 3.099 Residual 2.12) 12 Total 3.735 a Dependent Variable: average_MSEMSE b. Predictors: (Constant. eigencentrality Average 15Aoptimized_threshold_b Coefficients Standardized Coeficients Beta Collinearity Stanisses Tolerance Model Sia 000 Unstandardized Coeficients B Sid Error...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT