In: Statistics and Probability
| 
 Country  | 
 Alcohol Consumption (x)  | 
 Death Rate from Cirrhosis (y)  | 
| 
 France  | 
 24.7  | 
 46.1  | 
| 
 Italy  | 
 15.2  | 
 23.6  | 
| 
 Germany  | 
 12.3  | 
 23.7  | 
| 
 Australia  | 
 10.9  | 
 7.0  | 
| 
 Belgium  | 
 10.8  | 
 12.3  | 
| 
 USA  | 
 9.9  | 
 14.2  | 
| 
 Canada  | 
 8.3  | 
 7.4  | 
| 
 England  | 
 7.2  | 
 3.0  | 
| 
 Sweden  | 
 6.6  | 
 7.2  | 
| 
 Japan  | 
 5.8  | 
 10.6  | 
| 
 Netherland  | 
 5.7  | 
 3.7  | 
| 
 Ireland  | 
 5.6  | 
 3.4  | 
| 
 Norway  | 
 4.2  | 
 4.3  | 
| 
 Finland  | 
 3.9  | 
 3.6  | 
| 
 Israel  | 
 3.1  | 
 5.4  | 
a. Does the scatter plot show evidence of a linear correlation? If yes, what type?
c. Given:
E x= 134.2, E y=175.5, E x^2=1630.12, E y^2=3959.61, E xy=2419.61
Find= Sx=, Sy=, Sxy=,
d. Given slope = 1.98, find the regression line of on Write the answer in context of this problem.
b= equation=
e. Interpret the slope (m) in context of this problem.
answer=
f.Given r = 0.938, find r squared. Round off to the nearest whole number.
r-squared=
g. Interpret r squared in context of his problem.
answer=
Using Excel, go to Data, select Data Analysis, choose Regression.
| SUMMARY OUTPUT | ||||||
| Regression Statistics | ||||||
| Multiple R | 0.938829774 | |||||
| R Square | 0.881401345 | |||||
| Adjusted R Square | 0.872278372 | |||||
| Standard Error | 4.170222942 | |||||
| Observations | 15 | |||||
| ANOVA | ||||||
| df | SS | MS | F | Significance F | ||
| Regression | 1 | 1680.180128 | 1680.180128 | 96.61338479 | 2.19651E-07 | |
| Residual | 13 | 226.079872 | 17.39075938 | |||
| Total | 14 | 1906.26 | ||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
| Intercept | -5.995753288 | 2.097747961 | -2.85818573 | 0.013444303 | -10.52766223 | -1.46384434 | 
| Alcohol Consumption | 1.977915792 | 0.201228342 | 9.829210792 | 2.19651E-07 | 1.543188389 | 2.412643195 | 

a) Yes, there is evidence of linera correlation and it is positive.
c) Sx (SS Regression) = 1680.18
Sy (SS Total) = 1806.26
Sxy (SS Residual) = 226.08
d) y = -5.996 + 1.98x
e) With one unit increase in alcohol consumption, death rate increases by 1.98 units.
f) R-squared = 0.938^2 = 0.881
g) 88.1% of variation in death rate from Cirrhosis is explained by alcohol consumption.