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1. A study concluded that there was a correlation between refined sugar consumpt

ID: 3173022 • Letter: 1

Question

1.

A study concluded that there was a correlation between refined sugar consumption (Calories per person per day) and annual rate of major depression (cases per 100 people) The following data was available from a graph.

Country              Sugar consumption                 Depression rate

Korea                        150                                          2.3

United States              300                                         3.0

France                        350                                          4.4

Germany                    375                                          5.0

Canada                       390                                           5.2

New Zealand               480                                         5.7

a) Compute and interpret the correlation coefficient for this data set.

b) Compute r-square interpret.

c) Evaluate the

          i. slope________

          ii. the y-intercept = ______

          iii. the equation of the regression line

d) Is it reasonable to conclude that increasing sugar consumption leads to higher rates of depression. Explain.

Explanation / Answer

from above

a0) correlation coefficient =Sxy/(SSx*SSy)1/2=0.9445 ; as it +ve and near to 1.

which reflect that depression rate increases with increase of sugar content

b) also R2=(0.9445)2=0.892

which provide proportion of variability explained by independent variable in dependent variable

c)here slop b1 =Sxy/Sxx=0.0114

and intercept =Ybar-B1*Xbar =0.3706

hence regression equation Yhat=0.0114X+0.3706

d) Yes as correlation coefficient shows a strong +ve relationship b/w increase of sugar and strength of depression

x y (X-Xbar)^2 (Y-Ybar)^2 (X-Xbar)(Y-Ybar) Yi' (Y-Yi')^2 150.00 2.30 36417.36 3.87 -286.61 2.085268 0.04610972 300.00 3.00 1667.36 1.60 -374.60 3.799905 0.63984731 350.00 4.40 84.03 0.02 46.10 4.37145 0.0008151 375.00 5.00 1167.36 0.54 271.87 4.657223 0.11749627 390.00 5.20 2417.36 0.87 360.02 4.828686 0.13787383 480.00 5.70 19367.36 2.05 681.88 5.857468 0.02479621 Total 2045.00 25.60 61120.83 8.95 698.67 0.96693844 mean 340.83 4.27 SSx Ssy Sxy