# Scatter Plots Assignment Paper

## Scatter Plots Assignment Paper

Scatter Plots Assignment Paper

#### Instructions

Working in the SPSS Assignment 3 document

, use SPSS to explore scatterplots and correlations. Refer to the tutorial video in the Module Resources and the Discovering Statistics Using IBM Statistics textbook for help with this topic.

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You will be using the Album Sales data set

for this assignment. For additional information, please refer to the SPSS Assignments Guidelines and Rubrics document. Scatter Plots Assignment Paper

Information on this assignment attached

• PSY510SPSSAssignment3sheet.docx

#### PSY 510 SPSS Assignment 3

Before you begin the assignment:

· Review the video tutorial in the Module Seven resources for an overview of conducting correlational analyses in SPSS.

· Download and open the Album Sales SPSS data set (this is the same data set that was used in SPSS Assignment 2). Data adapted from Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). Thousand Oaks, CA: Sage Publications, Inc.

An overview of the data set:

This data set contains data for 200 different rock albums (i.e., each row in the data set represents the data for one album). Specifically, the following variables are included:

· AlbumNumber: This is the ID number of the album. There are 200 albums, so this variable ranges from 1 to 200.

· RecordCompany: This is the record company that promoted the album. Values of “1” stand for Next Generation Records, and values of “2” stand for Worldwide Entertainment.

· Adverts: This is the advertising budget of the album. The values are in thousands of dollars.

· Sales: These are the sales of the album. The values are in thousands of sales.

· Airplay: This is the number of times that the album was played on the radio in the last year.

· Attract: This is the overall physical attractiveness of the band as rated by independent raters. The values for this variable range from 1 to 10.

Questions:

1a) Use a scatterplot to examine the relationship between Adverts and Airplay.

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

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?

3a) Examine the correlation between Adverts and Airplay.

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?

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

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).

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.

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?

• Plotsample.docx

#### PSY 510 SPSS Assignment 3

Before you begin the assignment:

· Review the video tutorial in the Module Seven resources for an overview of conducting correlational analyses in SPSS.

· Download and open the Album Sales SPSS data set (this is the same data set that was used in SPSS Assignment 2). Data adapted from Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). Thousand Oaks, CA: Sage Publications, Inc.

An overview of the data set:

This data set contains data for 200 different rock albums (i.e., each row in the data set represents the data for one album). Specifically, the following variables are included:

· AlbumNumber: This is the ID number of the album. There are 200 albums, so this variable ranges from 1 to 200.

· RecordCompany: This is the record company that promoted the album. Values of “1” stand for Next Generation Records, and values of “2” stand for Worldwide Entertainment.

· Adverts: This is the advertising budget of the album. The values are in thousands of dollars.

· Sales: These are the sales of the album. The values are in thousands of sales.

· Airplay: This is the number of times that the album was played on the radio in the last year.

· Attract: This is the overall physical attractiveness of the band as rated by independent raters. The values for this variable range from 1 to 10.

Questions:

1a) Use a scatterplot to examine the relationship between Adverts and Airplay.

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

There doesn’t appear to be any strong correlation between advertising and airplay. The highest number of airplays does not correlate to the highest advertising budget.

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?

The two variables that appear to have the strongest correlation are Album Sales and Radio Plays. There is a positive upward trend.

3a) Examine the correlation between Adverts and Airplay.

 Correlations Advertising Budget (Thousands of Dollars) No. of plays on Radio Advertising Budget (Thousands of Dollars) Pearson Correlation 1 .102 Sig. (2-tailed) .151 N 200 200 No. of plays on Radio 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 of the correlation between advertising budget and number of radio plays is .102. This is a weak positive correlation. The significance value is not statistically meaningful.

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

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

There are strong, significant positive correlations between Advertising Budget and Album Sales, and Number of Radio Plays and Album Sales.

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.

Sleeping in bed with dogs and the number of hours slept. The increase in the number of dogs in bed would decrease the number of hours slept.

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.

 Correlations NumberDogs HoursSleep NumberDogs Pearson Correlation 1 -1.000** Sig. (2-tailed) .000 N 10 10 HoursSleep Pearson Correlation -1.000** 1 Sig. (2-tailed) .000 N 10 10 **. Correlation is significant at the 0.01 level (2-tailed).

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