Fast reactions: In a study of reaction times, the time to respond to a visual stimulus x and the time to respond to an auditory stimulus y were recorded for each of 6 subjects. Times were measured in thousandths of a second. The results are presented in the following table. The results are presented in the following table. Visual Auditory 161 159 211 189 191 169 176 163 201 197 228 209 Compute the least-squares regression line for predicting the time to respond to an auditory (y) from the time to respond to a visual stimulus (x). Round the slope and y-intercept values to at least four decimal places.
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.
Fast reactions: In a study of reaction times, the time to respond to a visual stimulus x and the time to respond to an auditory stimulus y were recorded for each of 6 subjects. Times were measured in thousandths of a second. The results are presented in the following table. The results are presented in the following table. Visual Auditory 161 159 211 189 191 169 176 163 201 197 228 209
Compute the least-squares regression line for predicting the time to respond to an auditory (y) from the time to respond to a visual stimulus (x). Round the slope and y-intercept values to at least four decimal places.
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