in a simple linear regression analysis, the p-value associated with a test of the slope coefficient was equal to .028, which would lead us to do what at the 3% level of significance? group of answer choices accept the null hypothesis. not enough information is given to answer this question. conclude that the true slope for the population is equal to zero. conclude that a linear relationship exists between the two variables.

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09-12-2022
Mathematics

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in a simple linear regression analysis, the p-value associated with a test of the slope coefficient was equal to .028, which would lead us to do what at the 3% level of significance? group of answer choices accept the null hypothesis. not enough information is given to answer this question. conclude that the true slope for the population is equal to zero. conclude that a linear relationship exists between the two variables.

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shomerajeshwari90 shomerajeshwari90 · Answer 1 · 2022-12-18T01:03:20-05:00

Out of the given choices, we choose 'not enough information given to answer this question' and concluded that the true slope for the population is equal to zero.

Since, we are given a p-value associated with a test of the slope coefficient equal to 0.028 which leads to 3% level of significance, it means that there is 3% chance of finding difference which is larger than the one given in our study given that the null hypothesis is true. Since, it is less than 5% level of significance, the null hypothesis is rejected and accept an alternative hypothesis. As this hypothesis is not given, we conclude that there is not enough information to give an answer to the question.

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