Statistics

An appropriate visual of data, most appropriate center of data set, standard deviation and variance, note any outliers, compute and

discuss the measures of spread, quartiles and interquartiles range and discuss findings, draw scatterplot and discuss the association,

discuss and calculate the r and rsauared, find least squares regression line, interpret the slope and y intercept if appropriate, compute

the residual at a particular point. discuss findings. Would it be reasonable to use the least squares regression line to predict? why or

why not. Reflection, interpretation and full analysis of your results. Conclusions that can be drawn. Discuss whether or not the results

and conclusions drawn from it are consistent with the analysis completed in the body. Thoroughly discuss validity.