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Hello student here.
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We have given a computer output for a regression analysis and here y is a dependent variable and x is an independent variable.
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So here in the first bit we have to perform a t -test using a p -value approach to conclude x and y are related or not.
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So here our null hypothesis is h naught beta 1 is equal to 0 that is there is no relationship between x and y and beta 1 not equal to 0.
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That means there is a relationship between x and y.
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So here a statistic is so here t is equal to p minus 0 or beta 1 minus 0 divided by standard error of beta 1.
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Now here we substitute the values.
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So here a beta 1 is equal to minus 2 .106 minus 0 divided by 0 .261.
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Therefore the calculated value of a statistic t which is equal to minus 8 .068.
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Now the corresponding p -value here corresponding p -value is equal to 0 .001.
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Now here we compare our p -value with the level of significance 0 .05.
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So here p -value is less than level of significance 0 .05.
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Here we reject h naught and we conclude that x and y are related now in the next bit here.
01:55
We have to perform a f -test to conclude x and y are related or not...