xperiment was aroucks Comee Co. uses a cata-dased approach to improving qualilty and custo tears were the viscosity, pressure, and plate gap on the bag-sealing equipment. The accompanying data were collected on 18 bags in which the plate gap was varied. Develop a multiple regression model that uses the viscosity, pressure, and plate gap on the bag-sealing equipment to predict the tear rating of the bag. Do you think that you need to use three independent variables in the model? Explain. ucted to dete ractors in the bag-seain quipme that might be affecting the ease of opening the bag Without tearing the Inner lner of the bag Among the factors that could affect tne radng of the ability of tne bag to res E Click the icon to view the bag data. State the multiple regression equation that uses the viscosity. pressure, and plate gap on the bag-sealing equipment to predict the tear rating of the bag. Let X, be the viscosity, let X, be the pressure, and let Xg be the plate gap. O Bag Data (Round to three decimal places as needed.) Determine if there is a significant relationship between tear rating and the three independent variables at the 0.05 level of significance. Determine the null and alternative hypotheses. 0.00 0.00 0.45 0.85 0.35 350.00 Tear Viscosity Pressure Plate Gap O 0.00 0.00 1.80 1.80 0.00 0.00 350.00 350.00 319.00 380.00 180.00 170.00 186.00 174.00 180.00 180.00 Determine the test statistic. 0.70 400.00 350.00 350.00 0.10 319.00 0.15 380.00 350.00 380.00 350.00 350.00 319.00 319.00 380.00 1.90 190.00 180.00 186.00 186.00 180.00 174.00 180.00 180.00 174.00 174.00 FSTAT O (Round to two decimal places as needed.) 0.00 0.00 - 1.80 - 1.80 3.00 0.25 Determine the p-value. 3.90 0.00 0.55 0.00 0.05 0.40 4.30 - 1.80 0.00 - 3.00 - 1.80 1.80 1.80 0.00 The p-value is (Round to three decimal places as needed.) State the conclusion. V Ho, There | evidence at the 0.05 level of significance that 186.00 180.00 0.00 350.00 At the 0.05 level of significance, determine whether each independent variable makes a contribution to the regression model Print Done Test the first independent variable, viscosity. Determine the null and alternative hypotheses. Hg: O H: P O (Type integers or decimals. Do not round.)
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.
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