Aplia: Student QuesX t/quiz?quiz action- takeQuiz&quiz; probGuid-QNAPCOA80101000

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Aplia: Student QuesX t/quiz?quiz action- takeQuiz&quiz; probGuid-QNAPCOA80101000000391092200a -dculler-0001&cksm-151062; 7. Interpreting statistical software output in correlation 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 eadh partiopant for which higher scores reflect a higher likelihood of that pertio pant watching the new show. You use a statistical computing program, such as SPSS , to compute the correlation between the rabing score and other demographic variables, induding gender, age, and income. Use the information from the following correlstion matrix to answer the following questions. Use a sgnificance level of -.05, (Note: Gender is coded sch that D- male and 1 female.) Correlations gender Pearson Correlation 263 190582 Sig (2-tailed) 028115000 70 70 ae Pearson Correlasion263 028 70 190 115 70 226 , 482 060 Sig (2-tailed) 70 226 060 70 000 017 887 70 70 income Pearson Correlation Sig (2-taled 70 017 897 70 rating Pearson Cormrelation-582 482 Sig Q-Hailed 70 Comelation is significant at the 0 05 level (2-tailed ” Correiaton is sign,ncantat ne 0 01 level C2-tied) Courtesy of 18M Your sample consists of 70 participants. The Pearson correlation between rating and gender is stati correlation is 582 suggesting that stically signnant (D-...000). The estimated have a higher likelihood ot watching the new show

Explanation / Answer

if male=1 and female=0 then

The perason correlation berween rating and gender is .........., suggesting that male have a higher likelihood of watching the new show.

if male=0 and female=1 then

The perason correlation berween rating and gender is .........., suggesting that female have a higher likelihood of watching the new show.

This computed correlation coefficient between rating and gender is also known as a pearson product-moment correlation.

The perason correlation berween age and rating, is also statistically significant(p=0.000).The estimated correlation is 0.887 suggesting that older people  have a higher likelihood of watching the new show.

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