worked per week and y=work-life balance scale score for each MBA alumnus. Investigate the link between these two variables by conducting a complete simple linear regression analysis of the data. Summarize your findings. E Click the icon to view the data. The least squares regression equation is y =0-Ox (Round to two decimal places as needed.) Revenue and Message Rate for Recent Movies Check the usefulness of the hypothesized model. What are the hypotheses to test? OA H=0 against H 0 Hours WLB Score 50 75.22 OB. H B, #0 against H B, =0 OC. H B 0 against H B, 0 45 78.45 50 49.68 55 40.11 OD. H; 0 against H =0 50 70.41 55.01 60 Determine the estimate of the standard deviation. 55 57.56 24.48 62.31 70.41 60 s-Round to two decimal places as needed.) 50 50 What is the test statistic for the hypotheses? 28.58 45 78.45 33.87 t=O (Round to two decimal places as needed.) 40 32.54 What is the p-value for the test statistic? 55 42.47 p-value =(Round to three decimal places as needed.) What is the value for the coefficient of determination ? -Round to two decimal places as needed.) Print Done State the conclusion at a=0.05. Since the p-value is M than the significance level a there is V evidence to reject Ho. Conclude there is Vlinear relationship between hours worked per week and work-life balance score.
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.
Step by step
Solved in 3 steps