There is little information please state more points.
Answer:
Explained below.
Step-by-step explanation:
The regression equation to predict amount of precipitation (in inches) in July from the average high temperatures (in degrees Fahrenheit) in July is as follows:
PRECIP = 2.0481 + 0.0067 HIGH
(1)
The value of the slope of the regression line is, 0.0067.
(2)
The predictor variable in this context is the average high temperatures (in degrees Fahrenheit) in July.
(3)
The response variable in this context is the amount of precipitation (in inches) in July.
(4)
The slope of a regression line is average rate of change in the dependent variable with one unit change in the independent variable.
The slope here is 0.0067.
This value implies that the average rate of change in the amount of precipitation (in inches) in July increases by 0.0067 inches with every 1°F increase in the average high temperatures.
(5)
Compute the mount of precipitation for a city that has an average high temperature in July of 87.31°F as follows:
PRECIP = 2.0481 + 0.0067 HIGH
= 2.0481 + 0.0067 × 87.31°F
= 2.633077
≈ 2.63 inches.
Answer:
74.4 ,81.5 , median
Step-by-step explanation:
ed20 answers
Let number of caps =x
charge of one cap =$6
charge of x caps =6x
shipping fee =$25
total budget =$1000
let us make an inequality equation here,
Since amount cannot be greater than 1000 , so
25+6x ≤1000
6x≤975
x≤162.5
rounding off ,
x≤163
So she can buy maximum 163 caps
