Does anyone already have a solution for this worksheet? It is statistical analysis using Correlation.

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SPSS Worksheet 5: (Correlation)

Instructions: Lesson 31 Exercise File 1 is located at the end of the chapter under the heading Exercises in your Green and Salkind textbook. Complete the exercise and then complete the worksheet below by filling in the blanks and answering the questions.

H₀1: There is no significant relationship between instructor ratings and course ratings.

Assumptions

Assumption of Bivariate Outliers: Hint: Run a scatter plot between the predictor variable (x) and criterion variable (y). Look for "extreme" bivariate outliers. See Warner pp. 165- 166 and 169.

Insert Graph or Table Here

Fill in the blanks:

Variables

Is the assumption of bivariate outliers tenable?

Instructor rating (x) Course rating (y)

Assumption of Linearity: Hint: Run a scatter plot between the predictor variable (x) and criterion variable (y). Add line of fit. See Warner p. 267- 268.

Insert Graph or Table Here

Fill in the blanks:

Variables

Is the assumption of linearity met?

Instructor rating (x) Course rating (y)

Assumption of Bivariate Normal Distribution: Hint: Run a scatter plot between the predictor variable (x) and criterion variable (y) and look for the classic "cigar shape" (Same as above without the line of fit). See Warner p. 169.

Insert Graph or Table Here

Fill in the blanks:

Variables

Is the assumption of bivariate normal distribution for X and Y met?

Instructor rating (x) Course rating (y)

Results

Insert Correlations table(s) below:

Insert Graph or Table Here

Fill in the blanks:

Correlation

Value

r

d.f.

p- value

Is the p- value less than .05?

Answer:

Is the correlation statistically significant?

Answer:

Should you reject or fail to reject the null? Hint: If p < .05 then reject.

Answer:

What is the effect size of r (small, medium, or large)? Hint: See Table 5.2 in Warner, p. 208.

Answer:

Is the relationship positive or negative?

Answer:

Descriptive Statistics

Fill in the blanks:

Variables

Mean

S.D