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:
XY 
Represent a distance
√
Represent a segment
√
Represent a numerical value
√
Represent a geometric figure √
Can be found by applying the ruler postulate
√
Can be be duplicated with a compass and a straight edge √
Step-by-step explanation:
The difference between XY and
are that the points XY represents the distance between two points having a numerical value whose value can be found by using a ruler to find difference in the numbers on the ruler that coincides with the points, while
Answer:
8 servings
Step-by-step explanation:
At the ratio of 15:1, the 75 grams of rice in one serving will require 75/15 = 5 g of spice. David's inventory of 40 g of spice is enough for ...
40 g/(5 g/serving) = 8 servings
The Mean = (135 + 71 + 69 + 80 + 158 + 152 + 161 + 96 + 122 + 118 + 87 + 85 ) : 12 = 111.166
The smallest value : 69
The greatest value : 161
s² = ∑( x i - x )² / ( n - 1 )
s² = ( 568.274 + 1613.3 + 1777.97 + 971.32 + 2193.42 + 1667.4 + +2483.42 + 230 + 117.38 + 46.7 + 584 + 684.66 ) : 11
s² = 1176.1676
s = √s² = √1176.1676
s ( Standard deviation ) = 34.295
All the values fall within 2 standard deviations:
x (Mean) - 2 s and x + 2 s
-10rt(v-10)=-60
(-10rt(v-10))/-10=-60/-10
rt(v-10)=6
(v-10)^2=6^2
v-10=36
v-10+10=36+10
v=46