See attached – 3 questions. c) What is the effect size? Is it small, medium, or large?

d.) Report the results in APA format.

1. e) What conclusions can be made?

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SPSS: Week 9Imagine a researcher is interested in examiningthe relationship of self-esteem (ScoreOne) andproductivity (ProdOne).The researcher is also interested in the ability to predict the productivityof teachers using years of teaching (Experience) as the predicting variable.Use theteachersurvey.sav data set to conduct the analysis involving ScoreOne, ProdOne, andExperience.Use these data to answer the questions below (these data have already been enteredin a SPSS file; see the note below the data table).Gender (M = male, F = female)Self-esteem scoresProductivity scoresM6425M6828F7436M7538F7634F7936F8040F8241M6822M7038F7439F7634F7838F7937M8245M8546F7130M7334F7533M7736M7838M8042F8346F8649M7337F7438M7732M7735F7836M8145

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F8449F8748F7736M7133F7534F7636M7938M8348F8948F9149Download the SPSS data set: teachersurvey.sav.Not all of the variables in that SPSS file willbe used for this assignment.In this SPSS assignment, use the tools learned in this course thus far, with an emphasis on thetool acquired in Gravetter and Wallnau (2013) chapters 15 and 16 to describe a correlation andregression.CorrelationsScoreOneProdOneScoreOnePearson Correlation1.897**Sig. (2-tailed).000N4040ProdOnePearson Correlation.897**1Sig. (2-tailed).000N4040**. Correlation is significant at the 0.01 level (2-tailed).C) What is the effect size?Is it small, medium, or large?d.) Report the results in APA format.a.) What conclusions can be made?