Answer:
Residual = -2
The negative residual value indicates that the data point lies below the regression line.
Step-by-step explanation:
We are given a linear regression model that relates daily high temperature, in degrees Fahrenheit and number of lemonade cups sold.
Where y is the number of cups sold and x is the daily temperature in Fahrenheit.
Residual value:
A residual value basically shows the position of a data point with respect to the regression line.
A residual value of 0 is desired which means that the regression line best fits the data.
The Residual value is calculated by
Residual = Observed value - Predicted value
The predicted value of number of lemonade cups is obtained as
So the predicted value of number of lemonade cups is 23 and the observed value is 21 so the residual value is
Residual = Observed value - Predicted value
Residual = 21 - 23
Residual = -2
The negative residual value indicates that the data point lies below the regression line.
Answer: 8 out of 52
Step-by-step explanation: there are 52 cards and you are trying to figure out out 52 which one out the 52 would be 8 or a spade there are 4 8 cards and 4 spade cards the answer would be 8 out of 52 Hope this Helps You!
Answer:
all real numbers except 1
Step-by-step explanation:
The objective is to determine the domain of f(x) =
The domain relates to the set of all possible values of x where the given function defined and the codomain is the target set into which the function is normally defined to map elements of the domain which is defined by y.
From the question:
If we divide zero by equation, the result will be undefined. Thus, x will never be equal to zero or one. Hence, the domain is all real numbers except 1.
Answer:
i think 2m
Step-by-step explanation:
3 plus 3 is 6 minus 8
Answer:
Line
Step-by-step explanation:
If you draw a line through the middle, there will be line symmetry.