r, and 5nd the Pivake using a 0.05. Is there sufficient evidence to conclude tha

Question

r, and 5nd the Pivake using a 0.05. Is there sufficient evidence to conclude that there is a linear correlation between lemon imports and crash fatality rates? Do the results suggest that imported lemons The inear comelation cooficient r is 0 946 (Round to theee decimal places as needed.) The tost statistic t is 5.060 (Round to three decimal places as needed) cooficient ris-0 946 level of -005 A. The results gest tat imported lermons cause car fataltes O B. The resuts suggest that an increase in imported lemons causes in an increase in car fatality raes O C. The results suggest that an increase in imported lemons causes car fatality rates to remain the same D The results do not suppost any cause-ofect

Explanation / Answer

perform cor test in R

code:

lemon_imports <- c(228,264,358,482,534)
crash_fatality_rate <- c(15.8,15.7,15.5,15.3,14.8)
cor.test(lemon_imports,crash_fatality_rate)

output:

Pearson's product-moment correlation

data: lemon_imports and crash_fatality_rate
t = -5.0687, df = 3, p-value = 0.01483
alternative hypothesis: true correlation is not equal to 0
95 percent confidence interval:
-0.9965529 -0.3876320
sample estimates:
cor
-0.9462768

Answers:

r=-0.946

t=-5.069

p=0.015

p value less than significance level

there is sufficient evidence.

the rselus does not support cause effect relationship between two variables.

ANSWRS GIVEN IN BOXES ARE CORRECT

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