= 0.96 (b) 96% (c) (4 points) Find the equation of the regression line. Round your answers t one decimal place value. a=1138) (270) - (42)1842) 8(270)-(42) a 나78 b= 8(842)- (42)138) 8(270)-(42)a 2.37 (e) Y=4•8+2.4X (d) (2 points) Predict y value if x = 3 assuming the linear correlation is signifi- %3D cant. y = 408+2.6(3) Y= 12.6 (d) _2.6 (e) (2 points) Predict y value if x = 3 assuming the linear correlation is not significant. 138 =17.25 8. 17.25 (e) Page 2 of 4 Study Guide 10 Total Points: 50 (e) 2. Suppose working with a set of 8 ordered-pairs, we gathered the following: Σ- 42, Σε?-270, Σy = 138 , Σ' = 270, Σεy-842 a) (3 points) Find the value of linear correlation coefficient. Round to three decimal places. r= 8(842)- (42)(138) V8(270)-(42ja v8(2670)-138) 2 =0.4815 %3D (a) 0.982 (b) (2 points) Find the value of coefficient of determination. Round to the near- est whole percent. ra=(0.982)2 = 0.96 (b) 96% (c) (4 points) Find the equation of the regression line. Round your answers t one decimal place value. a= 1138) (270)-(42)1842) 8(270)-(42)a 4.78 b= 8(842) -142)(138) 8(270)-(42)2 = 2.37 (c) Y=4.8+2·4X (d) (2 points) Predict y value if x = 3 assuming the linear correlation is signifi- %3D cant. Y = 408+2. 6(3) Y= 12-6 (d) _ \2.6 (e) (2 points) Predict y value if x = 3 assuming the linear correlation is not significant. 138 = 17.25 8. %3D 17.25 (e) Page 2 of 4 Study Guide 10 Total Points: 50
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.
I need help on Letter D.) and E.)
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D.) Predict y value if x=3 assuming the linear correlation is significant.
E.) Predict y value if x=3 assuming the linear correlation is not significant.
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