The equation of a regression line, unlike the correlation, depends on the units we use to measure the explanatory and response variables. Here is the data on percent body fat and preferred amount of salt. Preferred amount of salt x 0.2 0.3 0.4 0.5 0.6 0.8 1.1 Percent body fat y 20 31 22 29 39 22 30 In calculating the preferred amount of salt, the weight of the salt was in milligrams. (a) Find the equation of the regression line for predicting percent body fat from preferred amount of salt when weight is in milligrams. (Round your answers to one decimal place.) ŷ = ? + ? x (b) A mad scientist decides to measure weight in tenths of milligrams. The same data in these units are as follows. Preferred amount of salt x 2 3 4 5 6 8 11 Percent body fat y 20 31 22 29 39 22 30Find the equation of the regression line for predicting percent body fat from preferred amount of salt when weight is in tenths of milligrams. (Round your intercept to one decimal place and your slope to two decimal places.) ŷ = ? + ? x (c) Use both lines to predict the percent body fat from preferred amount of salt for a child with preferred amount of salt 1 when weight is measured in milligrams, which is the same as 10 when weight is in tenths of milligrams. (Round your answers to one decimal place.) in milligrams ? % body fat in tenths of milligrams ? % body fat Are the two predictions the same (up to any roundoff error)? Yes No
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.
The equation of a regression line, unlike the
Preferred amount of salt x |
0.2 | 0.3 | 0.4 | 0.5 | 0.6 | 0.8 | 1.1 |
Percent body fat y | 20 | 31 | 22 | 29 | 39 | 22 | 30 |
In calculating the preferred amount of salt, the weight of the salt was in milligrams.
(b) A mad scientist decides to measure weight in tenths of milligrams. The same data in these units are as follows.
Preferred amount of salt x |
2 | 3 | 4 | 5 | 6 | 8 | 11 |
Percent body fat y | 20 | 31 | 22 | 29 | 39 | 22 | 30 |
(c) Use both lines to predict the percent body fat from preferred amount of salt for a child with preferred amount of salt 1 when weight is measured in milligrams, which is the same as 10 when weight is in tenths of milligrams. (Round your answers to one decimal place.)
in milligrams | ? | % body fat |
in tenths of milligrams | ? | % body fat |
Are the two predictions the same (up to any roundoff error)?
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