Suppose a research er RW decides to give his nine participants a series of 50 photographs. He asks the participants to rank order (from 150} how welldressed the individuals in the photograph we re and to rank order [from 150} how intelligent they thought the individuals in the photograph we re. One of the photographs was of a well known actor. The welldressed ordinal rankings and the intelligence ordinal rankings forthis one photo are asfollows. WELLDRESSED INTELLIGENT 14 12 35 39 16 17 4 1 43 39 4D 25 21 26 27 1 1 9 24 25 RW performs a simple linear regression {with WELL DRESSED as the Independent Variable and INTELLIGENT as the Dependent Variable} and obtains the following results. Model Summary M- Adjusted R Std. Error or me R Square Square Estimate --_ 2.10093 3. Predictors: {Constant}, W, wn Reuression 1215. 992 1215.992 275. 492 .000" Residual 30.39? 4. 414 Total 1246.389 3. Dependent Variable: intelligent b. Predictors: {Constant}, We'd, Coefficients Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig 1 [Constant) 3.180 1.886 -1.686 136 welldressed 1.133 068 988 16.598 000 a. Dependent Variable: intelligent From these results, he concludes 1. that being well dressed causes people to view you as intelligent. 2. that the linear relationship between well-dressed ratings and intelligence ranks for the photos is Well Dressed=-3.180(Intelligence) + 1.133. 3. that the null hypothesis (b=0) has a probability =.000 4. that since it is desirable to get an R'=1, it may be necessary to add more Independent Variables to the analysis. 5. that with this type of analysis one doesn't have to worry about being overly influenced by extreme values. Your task is to answer the following about the above project. Do you see any problems with the design of the study, the data analysis run, or the results reported? Are there analyses that should have been run that weren't? What would you have done? Why? Do you see any errors in the conclusions reached? If so, what should have been concluded? If you feel that other alternative statistical analyses should have been performed, then do them (and turn them in). If you do alternative analyses include any results you have obtained (printouts, graphs, etc) and describe them in the body of your paper (which should be composed of sentences, paragraphs, etc). Be sure to include enough information so that I know that you know what you are talking about