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A brief summary of the analyses and include the following:Description of any notable characteristics of the data that can see by looking at the scatter

A brief summary of the analyses and include the following:Description of any notable characteristics of the data that can see by looking at the scatter diagram. In particular, you should describe any outliers or other unusual data.? Description of any notable characteristics of the data that at the scatter diagram. describe any outliers or other unusual data.? Interpret numbers in the context of the overall study, report the correlation value (r), the regressionequation (Y^ = a + bX) and anynotable characteristics of the scatterplot.Hypothetical Scenario:interested in assessing whether student loneliness is correlated with how many Facebook friends they have. You ask a random sample of 30 students to rate their current loneliness on a 10-point scale (1=Not lonely at all and 10=Extremely lonely) and then you ask the same 30 students how manyFacebook friends they have.Data Set 1: Make up a data set that shows a positive linear correlation between students' loneliness and the number of Facebook friends they have.

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Data Set 1 Descriptive Statistics Correlations Std. lonelines Mean Deviation friends 966 friends 10.73 5.570 30 Pearson onelines 1.000 Correlation S lonelines 6.37 2.526 30 friends 966 1.000 Sig. (1-tailed) lonelines $.001 Correlations friends .000 lonelines lonelines 30 30 friends 5 friends friends Pearson 966" Correlation Variables Entered/Removed Sig. (2-tailed) :.001 Mode Variables Variables Entered Removed Method 30 30 friends" Enter onelines Pearson 966" a. Dependent Variable: loneliness Correlation b. All requested variables entered Sig. (2-tailed) <.001 model summary n mode r adjusted std error of correlation is significant at the level square estimate tailed .966 .932 .669 a. predictors: friends regression anova sum mean descriptive statistics squares sig. regressic deviation onelines residual .447 total s . dependent variable: loneliness variable processing variables depende independe nt lonelines coefficients standardize number positive values zeros unstandardized d negative missing user-missing b std. beta value system- .269 t and parameter estimates .022 equatio onstan description df1 df2 b1 name mod linear independent friends. equation constant included whose label unspecified observations in plots case cases excluded forecasted newly created with a any are from analysis>

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