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 lonelines

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 many

Facebook friends they have.

Data Set 2: Make up a data set that shows a negative linear correlation between students' loneliness and the number of Facebook friends they have.

a brief summary of the analyses. and include the following:

• ??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 regression equation (Y^ = a + bX) and any notable characteristics of the scatterplot.

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.

Data Set 1 Descriptive Statistics Correlations Std. lonelines Mean Deviation friends 966 friends 10.73 5.570 30 Pearson lonelines 1.000 Correlation S lonelines 6.37 2.526 30 friends 966 1.000 Sig. (1-tailed) lonelines <.001 s correlations friends dod lonelines n pearson .966 correlation variables entered sig. c.001 mode removed method enter onelines a. dependent variable: loneliness b. all requested entered. model summary adjusted r std. error of is significant at the level square estimate tailed predictors: regression anova sum mean descriptive statistics squares dif regressio deviation residual total variable processing depende independe nt longlines coefficients standardize number positive values unstandardized d zeros negative missing user-missing beta system- and parameter estimates .022 constan description f df1 df2 b1 name mod linear _438 independent friends. equation constant included whose label unspecified observations in plots case cases excluded forecasted newly created with a value any are from analysis>