You may need to use the appropriate technology to answer this question. In a regression analysis involving 30 observations, the following estimated regression equation was obtained. ŷ = 17.6 + 3.8x1 − 2.3x2 + 7.6x3 + 2.7x4 For this estimated regression equation, SST = 1,825 and SSR = 1,780. (a) At ? = 0.05, test the significance of the relationship among the variables. State the null and alternative hypotheses. H0: One or more of the parameters is not equal to zero. Ha: ?1 = ?2 = ?3 = ?4 = 0H0: One or more of the parameters is not equal to zero. Ha: ?0 = ?1 = ?2 = ?3 = ?4 = 0 H0: ?0 = ?1 = ?2 = ?3 = ?4 = 0 Ha: One or more of the parameters is not equal to zero.H0: ?1 = ?2 = ?3 = ?4 = 0 Ha: One or more of the parameters is not equal to zero. 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. Do not reject H0. We conclude that the overall relationship is not significant.Reject H0. We conclude that the overall relationship is not significant. Reject H0. We conclude that the overall relationship is significant.Do not reject H0. We conclude that the overall relationship is significant. Suppose variables x1 and x4 are dropped from the model and the following estimated regression equation is obtained. ŷ = 11.1 − 3.6x2 + 8.1x3 For this model, SST = 1,825 and SSR = 1,725. (b) Compute SSE(x1, x2, x3, x4). SSE(x1, x2, x3, x4) = (c) Compute SSE(x2, x3). SSE(x2, x3) = (d) Use an F test and a 0.05 level of significance to determine whether x1 and x4 contribute significantly to the model. State the null and alternative hypotheses. H0: One or more of the parameters is not equal to zero. Ha: ?1 = ?4 = 0H0: One or more of the parameters is not equal to zero. Ha: ?2 = ?3 = 0 H0: ?2 = ?3 = 0 Ha: One or more of the parameters is not equal to zero.H0: ?1 = ?4 = 0 Ha: One or more of the parameters is not equal to zero. 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 =
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.
Ha: ?1 = ?2 = ?3 = ?4 = 0H0: One or more of the parameters is not equal to zero.
Ha: ?0 = ?1 = ?2 = ?3 = ?4 = 0 H0: ?0 = ?1 = ?2 = ?3 = ?4 = 0
Ha: One or more of the parameters is not equal to zero.H0: ?1 = ?2 = ?3 = ?4 = 0
Ha: One or more of the parameters is not equal to zero.
Ha: ?1 = ?4 = 0H0: One or more of the parameters is not equal to zero.
Ha: ?2 = ?3 = 0 H0: ?2 = ?3 = 0
Ha: One or more of the parameters is not equal to zero.H0: ?1 = ?4 = 0
Ha: One or more of the parameters is not equal to zero.
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