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svetlana [45]
2 years ago
12

Find the equation of the line containing (2, -5) and (6, 3).

Mathematics
1 answer:
anygoal [31]2 years ago
7 0

Answer:

y=2x-7

Step-by-step explanation:

first you find the slope by using point slope form.

then you use slope formula

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Suppose you have a set of data points with a correlation of 0.85. What is the variance? A. Variance = √ r = 0.92195 B. Variance
TiliK225 [7]

Answer:

B. Variance = r2 = 0.7225

Step-by-step explanation:

Given the correlation coefficient, variance is obtained by squaring the correlation coefficient to obtain what is also know as coefficient of determination. Gives information on the predictive power of the model

8 0
3 years ago
Kevin is making a picture frame. He has a piece of trim that is 4 feet long.How many 14−inch-long pieces can Kevin cut from the
Lerok [7]

First, convert 4 feet into inches - 48 inches. Then, divide 48 by 14 to get 3.43, so he can have 3 14-inch long pieces. To get the left over out of a foot, take 14 x 3 to get 42, then subtract 42 from your original 48 inches to get 6 inches left, which is half of a foot.

7 0
2 years ago
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When the day was over , everybody had earned at least 1 medal, and 32 each got 2 medals. In all, 194 each of gold, silver , and
Orlov [11]

Answer:

32 X 2= 64

194-64 = 130 students

8 0
3 years ago
Simplify the given fractions 1/2 . 3/4​
madam [21]

Answer:

If you meant for 1/2 and 3/4 to be simplified, then they are already in their reduced forms.

Step-by-step explanation:

6 0
2 years ago
Beer shelf life is a problem for brewers and distributors because when beer is stored at room temperature, its flavor deteriorat
Blizzard [7]

Answer:

a) 3.52

b)  0.002399

c)  At α = .05 we reject the null hypothesis.

Step-by-step explanation:

We are given the following information:

Population mean, μ = 6 μg per liter

Sample size, n = 12

Alpha, α = 0.05

6.94, 7.50, 5.87, 7.92, 8.66, 7.78, 7.95, 6.35, 6.16, 6.28, 5.68, 7.02

Mean = \displaystyle\frac{\text{Sum of all observations}}{\text{Total number of observation}}

Mean =\displaystyle\frac{84.11}{12} = 7.009

\text{Standard Deviation} = \sqrt{\displaystyle\frac{\sum (x_i -\bar{x})^2}{n-1}}  

where x_i are data points, \bar{x} is the mean and n is the number of observations.

SS.D = \sqrt{\frac{10.03}{11}} = 0.95

First, we design the null and the alternate hypothesis

H_{0}: \mu \leq 6\\H_A: \mu > 6

We use One-tailed t test to perform this hypothesis.

a) Formula:

t_{stat} = \displaystyle\frac{\bar{x} - \mu}{\frac{s}{\sqrt{n-1}} }

Putting all the values, we have

t_{stat} = \displaystyle\frac{7.009 - 6}{\frac{0.95}{\sqrt{11}} } = 3.52

b) P-value for one tailed t-test at 11 degree of freedom and α = 0.05 is 0.002399

c) Since P-value < 0.05

The result is insignificant.

Thus, at α = .05 we reject the null hypothesis.

6 0
3 years ago
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