What is the equation of the graphed line written in

A homeowner compared his electric bill from the last four months. In January, his bill was up $30; in February it was up another

kipiarov [429]

B: because she gained and didn’t decrease

Explanation:
A: 30
B:36
C:11
D: -5

So b is correct because it’s Greater

7 0

2 years ago

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Identify the probability to the nearest hundredth that a point chosen randomly inside the rectangle is in the square. Only answe

wel

Answer:

$0.07$

Step-by-step explanation:

we know that

The probability that a point chosen randomly inside the rectangle is in the square is equal to divide the area of the square by the area of rectangle

Let

x-----> the area of square

y----> the area of rectangle

P -----> the probability

$P=\frac{x}{y}$

<em>Find the area of square (x)</em>

$A=5^{2}=25\ in^{2}$

<em>Find the area of rectangle (y)</em>

$A=25*15=375\ in^{2}$

Find the probability P

$P=\frac{25}{375}=0.07$

7 0

2 years ago

PLS HELP ME ASAP FOR 1 and 2 (SHOW WORK!! + Brainliest!) LOTS OF POINTS!! (Kinda)

liubo4ka [24]

For number one, the answer will be C because the ratio between the side and the perimeter of the Pentagon will be 1/5 or 2/10 or 3/15. For number 2, we know that the Pentagon had 5 sides, and the side of it is 8, so the perimeter of this Pentagon will be 8+8+8+8+8 or 40 inches, which is C. Hope it help!

8 0

2 years ago

The table compares x, the number of minutes of television Sam watched each day, to y, the number of minutes she spent exercising

Olegator [25]

The answer is 83minutes hope that helped

6 0

3 years ago

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Professor wonders whether a student's homework average (X) could be used to predict their final grade in the course (Y) . She ca

Anna11 [10]

Answer:

The dependent variable is the final grade in the course and is the vriable of interest on this case.

H0: $\beta_1 = 0$

H1: $\beta_1 \neq 0$

And if we reject the null hypothesis we can conclude that we have a significant relationship between the two variables analyzed.

Step-by-step explanation:

On this case w ehave the following linear model:

$Y= 21.839 +0.724 X$

Where Y represent the final grade in the course and X the student's homework average. For this linear model the slope is given by $\beta_1 = 0.724$ and the intercept is $\beta_0 = 21.839$

Which is the dependent variable, and why?

The dependent variable is the final grade in the course and is the vriable of interest on this case.

Based on the material taught in this course, which of the following is the most appropriate alternative hypothesis to use for resolving this question?

Since we conduct a regression the hypothesis of interest are:

H0: $\beta_1 = 0$

H1: $\beta_1 \neq 0$

And if we reject the null hypothesis we can conclude that we have a significant relationship between the two variables analyzed.

3 0

2 years ago