help,assp please during amy's summer job working at the shoe-bee doo-bee she kept track of some data from all her male customers, shown below a )create a model for this data by finding the lsrl
Step 1: Plot the data points on a scatter plot with shoe size (x-axis) and height (y-axis).
Step 2: Calculate the linear correlation coefficient (r) for the data set.
Step 3: Use the formula for the LSRL:
y = a + bx
where y is the predicted height, a is the y-intercept, x is the shoe size, and b is the slope of the line.
The values for a and b can be calculated using the following formulas:
b = r(sy/sx)
a = y_bar - bx_bar
where y_bar and x_bar are the mean values for the height and shoe size, respectively, and sy and sx are the standard deviations of the height and shoe size, respectively.
Answers & Comments
Step-by-step explanation:
Step 1: Plot the data points on a scatter plot with shoe size (x-axis) and height (y-axis).
Step 2: Calculate the linear correlation coefficient (r) for the data set.
Step 3: Use the formula for the LSRL:
y = a + bx
where y is the predicted height, a is the y-intercept, x is the shoe size, and b is the slope of the line.
The values for a and b can be calculated using the following formulas:
b = r(sy/sx)
a = y_bar - bx_bar
where y_bar and x_bar are the mean values for the height and shoe size, respectively, and sy and sx are the standard deviations of the height and shoe size, respectively.