Hello, I am wondering what should my Ho and Ha be in this case and what should i do to carry out the test and how do i do it Test whether size is an effective predictor of house prices in the regression model. State your null and alternative hypotheses and report the test statistic, decision rule, and conclusion to the test. [2 marks
The regression equation is Y = 392.123X – 320.435
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This is the case you use T-test inside the linear regression analysis. The regression analysis will throw the ANOVA table which conducts a F-test to check the linear regression' dependent variable has statistically significant against the independent variable.
Here' the linear regression:
The t-test performed in the linear regression analysis will throw a p-value. Its hypothesis is set like this:
Null Hypothesis : Ho: Bsize = 0
Alternate Hypothesis: Ha: Bsize != 0
Test statistic = 9.27040
Decision Rule : If p-value is less than .05, then conclude that we reject Null hypothesis and the dependent variable has linear relation with independent variable.
Conclusion: p-value is 2.1299*10^-15, meaning the relation is statistically significant.
Hello, I am wondering what should my Ho and Ha be in this case and what should i do to carry out the test and how do i do it Test whether size is an effective predictor of house prices in the regressi...
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