# SPSS ASSIGNMENT THREE SCATTERPLOTS AND CORRELATIONS

SPSS ASSIGNMENT THREE SCATTERPLOTS AND CORRELATIONS 2

SPSS ASSIGNMENT THREE SCATTERPLOTS AND CORRELATIONS 6

SPSS Assignment Three Scatterplots and Correlations

Sandy Pennington

Sothren New Hampshire University

Research Methods in Psychology

Psy 510

Lowell Brubaker

October 2017

Running head: SPSS ASSIGNMENT THREE SCATTERPLOTS AND CORRELATIONS 1

SPSS Assignment Three Scatterplots and Correlations

1b) From the scatterplot, does there appear to be a strong correlation between Adverts and Airplay? If so, is the relationship positive or negative?

This scatterplot above does not seem like it illustrates a stout correlation at all.

2a) Use a matrix scatterplot to examine all of the relationships between Sales, Adverts, and Airplay.

2b) Describe the relationships between the variables. More specifically, do any of the variables appear strongly correlated? If there are correlations, is the relationship positive or negative?

Yes I think that there is a strong and positive correlation between airplay and album sales.

3a) Examine the correlation between Adverts and Airplay.

 Correlations No. of plays on Radio Advertising Budget (Thousands of Dollars) No. of plays on Radio Pearson Correlation 1 .102 Sig. (2-tailed) .151 N 200 200 Advertising Budget (Thousands of Dollars) Pearson Correlation .102 1 Sig. (2-tailed) .151 N 200 200

3b) Describe this correlation. What is the r-value? Does the r-value suggest a positive or negative correlation? Is the correlation weak or strong? Looking at the significance value, is the correlation significant?

The R-value is .102. This correlation is really kind of weak.102 is nearer to 0 than it is to 1. This correlation is not at all significant .151 is greater than .05.

4a) Create a correlation matrix that depicts the correlations between Sales, Adverts, and Airplay.

 Correlations No. of plays on Radio Advertising Budget (Thousands of Dollars) Album Sales (Thousands) No. of plays on Radio Pearson Correlation 1 .102 .599** Sig. (2-tailed) .151 .000 N 200 200 200 Advertising Budget (Thousands of Dollars) Pearson Correlation .102 1 .578** Sig. (2-tailed) .151 .000 N 200 200 200 Album Sales (Thousands) Pearson Correlation .599** .578** 1 Sig. (2-tailed) .000 .000 N 200 200 200 **. Correlation is significant at the 0.01 level (2-tailed).

4b) Are there any significant correlations between the variables? If so, explain which variables are correlated, and describe the nature of the correlation (i.e., positive or negative).

It looks like there is a significant positive correlation between album sales and airplay (.599) and sales and adverts (.578).

5a) Create an example of two variables (unrelated to the Album Sales data set) that you think would be negatively correlated. Describe the variables below.

For my sample I am linking the cups of caffeine drunk during the day verses the amount of hours slept at night.

5b) Create a new SPSS dataset that includes the two variables described in 5a. Enter hypothetical data for at least 10 participants. Run a scatterplot and then calculate the correlation using SPSS.

5c) Describe the correlation that exists in your hypothetical data. Is it positive or negative? Is it significant?

The scatterplot demonstrates that there is an adverse or even harmful correlation concerning the two. The added cups of caffeine the person had, the less sleep they had that night. This hypothetical data actually has a strong negative correlation of -.860.