What's the Statistical Hypothesis?

These data are per capita numbers of cigarettes smoked (sold) by 43 states and the District of Columbia in 1960 together with death rates per thousand population from lung cancer.

Variable Names:

1. CIG = Number of cigarettes smoked (hundreds per capita)
2. LUNG = Deaths per 100K population from lung cancer

Correlation coefficient = 0.93498

Slope = 0.5641

Intercept = 5.588

y=0.5641x + 5.5886

Correlation coefficient = 0.93498 Slope = 0.5641 Intercept = 5.588 y=0.5641x + 5.5886 Explanation: AutoSave On OF - Correlation Exercise - Saved . Chart Tools File Home Insert Draw Page Layout Formulas Data Review View Help PDFelement Design Format Search & Cut Calibri (Body) 10 A" A" 29 Wrap Text General [ Copy Paste BIU - HA. SEE Merge & Center ~ Conditional Format as Cell Insert Delete Format Painter Formatting " Table " Styles Clipboard Font Alignment Number Styles Cells Chart 2 X A C D E F G H I K L M N O Explanatory Response X-variable Y variable Linear Regression 3 State CIGG LUNG 30 4 AL 18.2 17.05 Correlation Coefficient 0.93498 5 AZ 25.8 19.8 Slope 0.564134 25 6 AR 18.2 15.98 Intercept 5.588636 7 CA 20 28.6 22.07 8 CT 31.1 22.83 9 DE O $ 15 33.6 24.55 Deaths per 100K population from lung cance 10 DC 40.46 27.27 10 y = 0.5641x + 5.5886 11 FL 28.27 23.57 R' = 0.8742 12 ID 20.1 13.58 13 IL 27.91 22.8 14 20 25 30 35 40 45 15 Number of cigarettes smoked (hundreds per capita) 16