intensity, x (in decibels) (in decibels) fraction, y 35 -0.54 40 -0.2 -1- 45 -1.34 50 -1.06 55 -1.91 60 -2.86 4- 65 -2.98 70 -2.92 30 40 60 90 50 80 75 -3.89 80 -3.99 Stimulus intensity, x (in decibels) Send data to calculator Send data to Excel Based on the sample data and the regression line, complete the following. (a) For these data, stimulus intensities that are greater than the mean of the stimulus intensities tend to be paired with Weber fractions that are (Choose one) v the mean of the Weber fractions. (b) According to the regression equation, for an increase of one decibel in stimulus intensity, there is a corresponding decrease of how many decibels in the Weber fraction? (c) From the regression equation, what is the predicted Weber fraction (in decibels) when the stimulus intensity is 40 decibels? (Round your answer to at least two decimal places.) (d) What was the observed Weber fraction (in decibels) when the stimulus intensity was 40 decibels? Weber fraction, y (in decibels)
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.
Can someone help fimegure out the answer yhat is related to the image? For these data the least-squares regression is Y=2.8136-0.0867x. This is the line shown in the
A.) Greater then or less then
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