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Question 3: Evaluate this model with the global test at the significance level a 0.05. (6 points) Step 1: State the hypotheses H1: Step 2: Compute the global F-statistic for the model. (Round to the nearest 100) Step 3: Find F-value for the critical value. (Round to the nearest 100) Step 4: State decision rule Step 5: State a conclusion and interpret the conclusion. Table 2 presents the parameter estimates of the regression model. Conduct a test of Question 4: the regression coefficients individually at the significance level of 0.05. Conclude which variable(s) is(are) useful in explaining the variation in Calculus grade. You are required to state the reasoning for your conclusion. Hint: the p-value approach can be used. (2 points) Table 2: Parameter Estimates Variable Intercept Algebra grade 0.961 ATC math ATC science HS rank Coefficients Standard Error Statistic p-value 36.122 0.272 0.216 0.135 10.752 0.264 0.454 3.36 3.64 0.60 0.69 01.31 0.001 0.001 0.551 0.492 0.196 0.313 0.104

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Answer #1

question 3) is incomplete,model is missing,so i am answering ques 4

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question 4)

for variable algebra,p-value=0.001 < alpha=0.05

so, it is significantly different from zero

for variable ATC math,p-value=0.0551>alpha=0.05, so, not significnat

fir variable ATC science,p-value = 0.492>alpha=0.05,s0 not significant

for variable, HS rank, p value=.0.196>alpha=0.05,so also not significant

so, only algebra grade is significant in explaining the variation on calculus grade

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