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,
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
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