The index of exposure to radioactive waste, x, and the cancer mortality rates, y, (deaths per 100,000) were recorded for nine different Oregon counties. Use the regression analysis provided below to perform the hypothesis test to determine if the index of exposure is useful as a predictor of cancer mortality rate.

The regression equation is= 114.7156 + 9.231456x

R-sq = 85.8%

9 - 2 = 7 degrees of freedom

H₀: No linear relationship between the index of exposure and cancer mortality rate, = 0.

H_a: There is a linear relationship between the index of exposure and cancer mortality rate, 0.

State your conclusion assuming = 0.05.

Since the P-value = 0.000332 < 0.05, we reject H₀and conclude that there is no linear relationship between the index of exposure and cancer mortality.

Since the P-value = 0.00000198 < 0.05, we reject H₀and conclude that there is no linear relationship between the index of exposure and cancer mortality.

No conclusions can be drawn without a chi-squared test of independence.

Since the P-value = 0.000332 < 0.05, we reject H₀and conclude that there is a linear relationship between the index of exposure and cancer mortality.

Since the P-value = 0.00000198 < 0.05, we reject H₀and conclude that there is a linear relationship between the index of exposure and cancer mortality.