d)Use the t test to test the following hypotheses (? = 0.05): H0: β1 = 0 Ha: β1 ≠ 0 Find the value of the test statistic. (Round your answer to three decimal places.) =____ Find the p-value. (Round your answer to four decimal places.) p-value = _____ State your conclusion. (A) Reject H0. We cannot conclude that the relationship between x and y is significant. (B) Do not reject H0. We cannot conclude that the relationship between x and y is significant. (C) Do not reject H0. We conclude that the relationship between x and y is significant. (D) Reject H0. We conclude that the relationship between x and y is significant. (e) Use the F test to test the hypotheses in part (d) at a 0.05 level of significance. Present the results in the analysis of variance table format. Set up the ANOVA table. (Round your values for MSE and F to two decimal places, and your p-value to three decimal places.) Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Regression _____ ______ ___ _ ______ Error _____ ______ ____ Total _____ ________ Find the value of the test statistic. (Round your answer to two decimal places.) =_____ Find the p-value. (Round your answer to three decimal places.) p-value = _____ State your conclusion. (A) Do not reject H0. We conclude that the relationship between x and y is significant. (B) Do not reject H0. We cannot conclude that the relationship between x and y is significant. (C) Reject H0. We conclude that the relationship between x and y is significant. (D) Reject H0. We cannot conclude that the relationship between x and y is significant.
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
xi
|
1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|---|
yi
|
3 | 7 | 5 | 11 | 14 |
SSE |
n − 2 |
MSE |
|
s | ||
|
H0: | β1 | = | 0 |
Ha: | β1 | ≠ | 0 |
(B) Do not reject H0. We cannot conclude that the relationship between x and y is significant.
Source of Variation |
Sum of Squares |
Degrees of Freedom |
Mean Square |
F | p-value |
---|---|---|---|---|---|
Regression | _____ | ______ | ___ | _ | ______ |
Error | _____ | ______ | ____ | ||
Total | _____ | ________ |
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