1) Check Images 2) The linear correlation coefficient is r= (Round to three decimal places as needed.) 3) Determine the null and alternative hypotheses. H0: ρ H1: ρ
1) Check Images
2)
The linear
(Round to three decimal places as needed.)
3)
Determine the null and alternative hypotheses.
H0: ρ
H1: ρ
(Type integers or decimals. Do not round.)
4)
The test statistic is t=
(Round to three decimal places as needed.)
5)
The P-value is
(Round to three decimal places as needed.)
6)
Because the P-value of the linear correlation coefficient is? the significance level, there? sufficient evidence to support the claim that there is a linear correlation between the heights of winning presidential candidates and the heights of their opponents.
7)
Should we expect that there would be a correlation?
- Yes, because presidential candidates are nominated for reasons other than height.
- Yes, because height is the main reason presidential candidates are nominated.
- No, because height is the main reason presidential candidates are nominated.
- No, because presidential candidates are nominated for reasons other than height.
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