Answer Happy

Research Question Part 1: Pearson r correlations We will explore the question about the type of person who likes online dating by asking: Is dating online related to how much the person wants to be in a relationship? Also, is dating online related with how extroverted the person is? To receive credit for this assignment, answer what is highlighted. When completed, upload the file to the Variables: Measurement scale Scores 1=I don't favor it Variable Online dating attitude How do you feel about dating online? Relationship desire How much do you want to be in a relationship? Extroversion How extroverted do you feel you are? 5=I very much favor it 1=Not so much 5=Very much so 1=Not at all 5=Very much so
1. Look at the table below to answer questions about the relationship between online dating attitude (x) and relationship desire (y): • . What is the correlation coefficient? How strong or weak is the relationship? What is the direction of this relationship? State your decision (Step 4) and conclusion (Step 5): • Correlations How favorable or unfavorable do you feel How much towards do you wish online you were in a dating? relationship? How favorable or Pearson 1 .748" unfavorable do you feel Correlation towards online dating? Sig. (2-tailed) .000 N 100 100 How much do you wish Pearson .748" 1 you were in a a Correlation relationship? Sig. (2-tailed) .000 N 100 100 **. Correlation is significant at the 0.01 level (2-tailed). 2. Examine the scatterplot to answer questions about the relationship between online dating attitude (x) and relationship desire (y): How strong is the relationship? How do you know? What is the direction of the relationship? How do you know? RLinear = 0 559 o 0 o O How favorable or unfavorable do you feel towards online dating? 0 0 0 o y=0.43+0.74% o o O How much do you wish you were in a relationship? 2
3. Look at the table below to answer questions about the relationship between online dating attitude (x) and extroversion (y): How social or extroverted are you? Correlations How favorable or unfavorable do you feel towards online dating? How favorable or Pearson 1 unfavorable do you feel Correlation towards online dating? Sig. (2-tailed) N 100 How social or Pearson .392 extroverted are you? Correlation Sig. (2-tailed) .000 N 100 ** Correlation is significant at the 0.01 level (2-tailed). .392 .000 100 1 100 . What is the correlation coefficient? • How strong or weak is the relationship? • What is the direction of this relationship? State your decision (Step 4) and conclusion (Step 5)? . 4. Now compute by hand, based on the relationship between online dating attitude & extroversion: The proportion of the variance accounted for (rº). The proportion of the variance not accounted for (1 - r?). . . 5. Based on the same relationship above, look at the table below in order to state the linear regression equation for predicting dating attitude from extroversion. First, find b (slope) and a (intercept), and then: State the linear regression equation: .
Coefficients Standardized Coefficients Unstandardized Coefficients Model B Std. Error Beta Sig. 5.025 .000 1 (Constant) 1.346 .268 How social or extroverted .354 .084 .392 are you? a. Dependent Variable: How favorable or unfavorable do you feel towards online dating? 4.216 .000 Now go on to Part 2
Part 2: Chi Square test of independence We will explore the question about whether political party is independent of gender. The first table (Sex* Party Affiliation Crosstabulation), displays the observed and expected frequencies. The second table (Chi Square Tests) shows information you will need to answer the questions below: How many participants were there in this study? What is the Chi square coefficient (chi square obtained)? Based on the Chi Square Test table, state the decision (STEP 4): State the conclusion (STEP 5): Sex * Party Affiliation Crosstabulation Party Affiliation republican democrat 18 43 other Total Sex female 14 Count Expected Count 31.9 15.5 27.6 39 75 75.0 80 male Count 23 18 29.4 34.1 16.5 80.0 Total Expected Count Count Expected Count 57 66 32 155 57.0 66.0 32.0 155.0 Chi-Square Tests Asymptotic Significance Value df (2-sided) Pearson Chi-Square 14.151 2 .001 Likelihood Ratio 14.419 2 .001 Linear-by-Linear 3.070 1 .080 Association N of Valid Cases 155 a. O cells (0.0%) have expected countless than 5. The minimum expected count is 15.48
Part 3: Frequency Distribution 1. Look at the frequency distribution table to answer the questions: • What class status contains the highest frequency? What is the relative frequency percent of class status Junior? What is the cumulative frequency of Freshmen and Sophomores? What is N in class status? . Class Status Frequency Percent Valid Percent Cumulative Percent 37.0 Valid Freshman 17 37.0 37.0 Sophomore 28.3 28.3 65.2 13 11 Junior 23.9 23.9 89.1 Senior 5 10.9 10.9 100.0 Total 46 100.0 100.0 2. Look at the frequency distribution table to answer the questions: What age contains the highest frequency? What is the relative frequency percent of age 23? What is the cumulative frequency of ages 16-24? . Age Cumulative Frequency Percent Valid Percent Percent Valid 16.00 1 2.2 2.2 2.2 18.00 10 21.7 21.7 23.9 37.0 6 6 13.0 13.0 19.00 20.00 11 23.9 23.9 60.9 21.00 6 13.0 13.0 73.9 22.00 2 4.3 4.3 78.3 91.3 23.00 6 13.0 13.0 24.00 2 4.3 4.3 95.7 25.00 1 2.2 2.2 97.8 1 2.2 2.2 100.0 27.00 Total 46 100.0 100.0
Part 4: Graphs 1. Look at the graph to answer the questions: . What is the name of this graph? What is the measurement scale of the variable "class status" below? In general, this type of graph is better suited for these measurement scales: . . Class Status Frequency Freshman Junior Senior Sophomore Class Status 2. Look at the graph to answer the questions: What is the name of this graph? What is the measurement scale of the variable “age" below? In general, this type of graph is better suited for these measurement scales: . . Age 12 Ilean = 20.39 Std Dev. = 2.256 N-46 10 Frequency 16.00 18.00 20.00 22.00 24.00 26.00 28.00 Age
Part 5: Descriptive statistics & skewness 3. Look at the table to answer the questions: • What is the mean age? • What is the median age? Is the distribution of age scores skewed? or negative? How do you know? If yes, is the skew positive Statistics Family Income Age N Valid 46 46 Missing 0 0 Mean 128521.74 20.39 Median 119500.00 20.00 Mode 119000.00 20.00 Std. Deviation 56181.35 2.26 Variance 3156343961.35 5.09 Range 390000.00 11.00 • What is the family income with the highest frequency? • What is the median family income? • Is the distribution of family income scores skewed? If yes, is the skew positive or negative? How do you know? What is the standard deviation of age?