(SPSS-prob set-Q1) please answer completely. Note:Answers for questions A,B,&C are numerical values. Answer for D is either "women" or "men". Answer for E is either: phi coefficient/spearman correlation/ or point biserial correlation (select the correct option that accurately completed the sentence). The answer for F is either: education/income/or rating(identify the correct answer. Note: G & I are numerical values that will need to be computed. The answer option for question H is: make more money/ make less money/ are female/ are less likely to watch the new show.

Styles Suppose you are conducting market research for a television network to understand whether viewers are likely to watch a new television show. You conduct a survey among a sample of randomly selected individuals and using a series of questions. You produce a rating score for each participant for which higher scores reflect a higher likelihood of that participant watching the new show. You use a statistical computing program, such as SPSS), to compute the correlation between the rating score and other demographic variables, including gender, age, and income. Use the information from the following correlation matrix to answer the following questions. Use a significance level of a = .05. (Note: Gender is coded such that 0 = female and 1 = male.) Correlations gender age income rating gender Pearson Correlation 263 - 190 . 582 Sig (2-tailed) 028 115 70 70 70 Pearson Correlation 265 226 1482 Sig (2-tailed) 1060 DOO N 70 70 70 income Pearson Correlation -100 017 SIg.(2-tailed) 115 887 IN 70 70 70 70 rating Pearson Correlation -.582 1017 Sig. (2-tallied) 1090 88 N 70 70 70 Correlation Is significant at the 0.05 level (2-tailed) " Correlation is significant at the 0.01 level (2-tailed) Courtesy of IBM. Your sample consists of participants. The Pearson correlation between rating and gender is statistically significant (p = /). The estimated correlation is wil suggesting that have a higher likelihood of watching the new show. This computed correlation coefficient between rating and gender is also known as a G ).The estimated correlation is The Pearson correlation between age and is also statistically significant (p = , suggesting that older people