I'd say Yana has 6...
30\ 6 is 5
the ratio range is a group inside 5..
so Dina has 30 swim suits...which is 5 times 6 of yana.
so since Dina has 24 "more" than yana... Dina is 4 : Yana is 1....4:1
Answer:
N(24, 3.46)
Step-by-step explanation:
We are given the following in the question:
Percentage of family homes having front poach = 50%
Sample size, n = 48
Normal approximation to the given distribution:
Thus, the distribution of single family homes is best approximated by the normal distribution N(24, 3.46) where mean is 24 and standard deviation is 3.46
Answer:
The answer is: C. $1407.50
Step-by-step explanation:
Buying:
30 * $20.95 + 20 * $25.50 =
$628.50 + $510 = $1138.
Selling:
50 * $28.75 = $1437.50
Remaining Cash:
$1437.50 - $30 = $1407.50
(This answer assumes Jen paid the other $30 per transaction when she bought the original shares, but had to pay $30 when she sold the shares.)
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.
