6. In a regression analysis predicting tourism revenue ($million) using number of tourists (million), the P-value...

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6. In a regression analysis predicting tourism revenue ($million) using number of tourists (million), the P-value...

6. In a regression analysis predicting tourism revenue ($million) using number of tourists (million), the P-value for the calculated test statistic is 0.002. At α=0.01, we

I. fail to reject the null hypothesis that regression slope is equal to zero.

II. reject the null hypothesis that regression slope is equal to zero.

III. conclude that there is a significant relationship between the number of tourists and tourism revenue.

IV. conclude that the number of tourists is NOT significant in predicting tourism revenue.

Both I and IV.
Both II and III.
Both I and III.
Both II and IV.
Only II.

math Statistics-And-Probability

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Answer 1

Answer #1

given that ,

p value is 0.002 is less than alpha=0.01

we reject the null hypothesis that regression slope is equal to zero.

and conclude that there is a significant relationship between the number of tourists and tourism revenue.

ans: both 2 and 3

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Answer 2

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