Consider the data. xi 2 6 9 13 20 yi 7 20 7 25 22 (a) What is the value of the standard error of the estimate? (Round your answer to three decimal places.) (b) Test for a significant relationship by using the t test. Use ? = 0.05. State the null and alternative hypotheses. H0: ?1 ≠ 0 Ha: ?1 = 0H0: ?1 = 0 Ha: ?1 ≠ 0 H0: ?0 = 0 Ha: ?0 ≠ 0H0: ?0 ≠ 0 Ha: ?0 = 0H0: ?1 ≥ 0 Ha: ?1 < 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. Do not reject H0. We cannot conclude that the relationship between x and y is significant.Do not reject H0. We conclude that the relationship between x and y is significant. Reject H0. We cannot conclude that the relationship between x and y is significant.Reject H0. We conclude that the relationship between x and y is significant. (c) Use the F test to test for a significant relationship. Use ? = 0.05. State the null and alternative hypotheses. H0: ?0 = 0 Ha: ?0 ≠ 0H0: ?1 = 0 Ha: ?1 ≠ 0 H0: ?0 ≠ 0 Ha: ?0 = 0H0: ?1 ≠ 0 Ha: ?1 = 0H0: ?1 ≥ 0 Ha: ?1 < 0 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 = What is your conclusion?
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
xi
|
2 | 6 | 9 | 13 | 20 |
---|---|---|---|---|---|
yi
|
7 | 20 | 7 | 25 | 22 |
Ha: ?1 = 0H0: ?1 = 0
Ha: ?1 ≠ 0 H0: ?0 = 0
Ha: ?0 ≠ 0H0: ?0 ≠ 0
Ha: ?0 = 0H0: ?1 ≥ 0
Ha: ?1 < 0
Ha: ?0 ≠ 0H0: ?1 = 0
Ha: ?1 ≠ 0 H0: ?0 ≠ 0
Ha: ?0 = 0H0: ?1 ≠ 0
Ha: ?1 = 0H0: ?1 ≥ 0
Ha: ?1 < 0
Trending now
This is a popular solution!
Step by step
Solved in 3 steps with 1 images