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I am lost, please help! Write-up- Use these questions as a guide to write an abstract (paragraph). Use past tense. Use the following questions as

I am lost, please help!

Write-up- Use these questions as a guide to write an abstract (paragraph). Use past tense.

Use the following questions as a guide:

  1. What was the research question?
  2. What was the Pearson correlation value (r), and was it statistically significant? (Use "sig" reported in SPSS. That is the p-value, and compare to alpha to determine significance)
  3. Was the relationship positive or negative and what was the (magnitude) strength of the relationship (use r/Pearson)?
  4. What was the regression equation for these data? Consider y=mx + b where y = HR.
  5. What are your thoughts on the finding of this analysis, and what are the practical application(s) of this finding? Elaborate on what the study means, why, how you know, and relate the findings to exercise physiology knowledge. Use references if needed. (Hint- does this study "make sense?" What could influence results?)

Table 4. Descriptives statistics table

Paste table below:

Descriptive Statistics

Mean

Std. Deviation

N

Body_weight_Kg

85.845

12.4855

20

Mean_heart_rate_BPM

132.65

15.836

20

Table 5. Correlations table

Paste table below:

Correlations

Body_weight_Kg

Mean_heart_rate_BPM

Pearson Correlation

Body_weight_Kg

1.000

-.411

Mean_heart_rate_BPM

-.411

1.000

Sig. (1-tailed)

Body_weight_Kg

.

.036

Mean_heart_rate_BPM

.036

.

N

Body_weight_Kg

20

20

Mean_heart_rate_BPM

20

20

Table 6. The model summary table

Paste table below:

Model Summaryb

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

Durbin-Watson

1

.411a

.169

.123

11.6954

2.648

a. Predictors: (Constant), Mean_heart_rate_BPM

b. Dependent Variable: Body_weight_Kg

Table 7. The ANOVA table

Paste table below:

ANOVAa

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

499.756

1

499.756

3.654

.072b

Residual

2462.094

18

136.783

Total

2961.850

19

a. Dependent Variable: Body_weight_Kg

b. Predictors: (Constant), Mean_heart_rate_BPM

Table 8. The coefficients table

Use this table to type out the regression equation for this data.

Paste table below:

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

Collinearity Statistics

B

Std. Error

Beta

Tolerance

VIF

1

(Constant)

128.806

22.627

5.693

<.001

Mean_heart_rate_BPM

-.324

.169

-.411

-1.911

.072

1.000

1.000

a. Dependent Variable: Body_weight_Kg

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