ll hypotheses are two-tailed. Please analyze the following data and type up an APA results/discussion paper. Also, be sure to present graphs and/or tables for each major analysis when appropriate. Paper covers two-way ANOVA, correlation, regression and chi square goodness-of-fit, 1: To determine if the number of male and female political candidates continues to differ (as it has historically), the researcher wants to know if the observed frequency of males and females differs from the expected frequency of males (expected frequency = 9) and females (expected frequency = 9) in the general population. Answer: 2: Is there a linear relationship between the age of a candidate and the favorability rating that candidate has immediately before the election (favorable)? Answer: 3: Calculate the linear regression equation for question #2 (do this whether or not there is a significant correlation in question #2). Find the predicted values for favorability rating when age = 20 and when age = 90. Answer: 4: Will the effect that region has on a politician’s income depend on what political party they belong to (in other words, will region and political party interact to affect income)? Also, does region influence income overall (in other words, is there a main effect of region)? Finally, do political parties differ in the overall amount of income that they make (in other words, is there a main effect of political parties)? Answer: CODINGS:  Sex 1= Male.    Region 1= Northern. Party 1= Democrat. Sex 2= Female. Region 2= Southern. Party 2= Republican. Participant/Region/Party/Favorable/Sex/Income/Age. 1               1            1       56            1     42,000    65 2               1            2       61            1     39,000    27 3               1            1       38            1     32,000    57 4               1            2       59            2     60,000    34  5               1            1       75            1     19,000    36 6               1            2       50             2    84,000    51 7               1            2       58             1    56,000    37 8               1            1       32             1    14,000    64 9               1            2       48             1    98,000    40 10             2            1       60             1    89,000    34 11             2            2       50             2    29,000    62 12             2            1       69             1    24,000    31 13             2            2       42             1    49,000    30 14             2            1       70             1    40,000    30 15             2            2       40             2    39,000    49 16             2            1       64             1    93,000    33 17             2            2       41             1    54,000    38 18             2            1       32             1    45,000    32

All hypotheses are two-tailed. Please analyze the following data and type up an APA results/discussion paper. Also, be sure to present graphs and/or tables for each major analysis when appropriate. Paper covers two-way ANOVA, correlation, regression and chi square goodness-of-fit,

1: To determine if the number of male and female political candidates continues to differ (as it has historically), the researcher wants to know if the observed frequency of males and females differs from the expected frequency of males (expected frequency = 9) and females (expected frequency = 9) in the general population.

Answer:

2: Is there a linear relationship between the age of a candidate and the favorability rating that candidate has immediately before the election (favorable)?

Answer:

3: Calculate the linear regression equation for question #2 (do this whether or not there is a significant correlation in question #2). Find the predicted values for favorability rating when age = 20 and when age = 90.

Answer:

4: Will the effect that region has on a politician’s income depend on what political party they belong to (in other words, will region and political party interact to affect income)? Also, does region influence income overall (in other words, is there a main effect of region)? Finally, do political parties differ in the overall amount of income that they make (in other words, is there a main effect of political parties)?

Answer:

CODINGS: 

Sex 1= Male.    Region 1= Northern. Party 1= Democrat.

Sex 2= Female. Region 2= Southern. Party 2= Republican.

Participant/Region/Party/Favorable/Sex/Income/Age.

1               1            1       56            1     42,000    65

2               1            2       61            1     39,000    27

3               1            1       38            1     32,000    57

4               1            2       59            2     60,000    34 

5               1            1       75            1     19,000    36

6               1            2       50             2    84,000    51

7               1            2       58             1    56,000    37

8               1            1       32             1    14,000    64

9               1            2       48             1    98,000    40

10             2            1       60             1    89,000    34

11             2            2       50             2    29,000    62

12             2            1       69             1    24,000    31

13             2            2       42             1    49,000    30

14             2            1       70             1    40,000    30

15             2            2       40             2    39,000    49

16             2            1       64             1    93,000    33

17             2            2       41             1    54,000    38

18             2            1       32             1    45,000    32