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d1i1m1o1n [39]
3 years ago
9

What is the equation (4, 5) m=-1/4 solved in point slope form?

Mathematics
1 answer:
hammer [34]3 years ago
8 0

Answer:

<h2>y - 5 = -1/4(x - 4)</h2>

Step-by-step explanation:

The point-slope form of an equation of a line:

y-y_1=m(x-x_1)

We have m = -1/4 and the point (4, 5). Substitute:

y-5=-\dfrac{1}{4}(x-4)

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Which characteristics describe the scatterplot? Check all that apply.
OlgaM077 [116]

Answer:

Incomplete Question

Attachment is missing

Step-by-step explanation:

To answer this question, I'll give conditions which satisfy each of the above characteristics of a scatter plot

1. Negative Correlation:

This type of correlation is achieved when either or both values of X and y on the graph decrease

2. Positive Correlation

This is achieved when the slope (value) of both x and y increase

3. Strong Correlation

This is often achieved when there's uniformity in slope x and y.

4. Weak Correlation

This is achieved when there's no uniforms in slope x and y

5. Linear

Linearity refers to whether a data pattern is linear (straight)

6. Nonlinear

Non-Linearity refers to whether a data pattern is curved.

3 0
3 years ago
Read 2 more answers
Please help! Very Easy Question! Which of the following are rational numbers?
nata0808 [166]

Answer:

20.25

Step-by-step explanation:

5 0
3 years ago
I answered 5 questions that are EASY AS FUDGE LOL and i just want someones feedback to see if it is right WILL GIVE BRAINLIEST H
Alexxx [7]

Answer:

i got 185.4 so basically 184.

412 times 5% equals 20.6

times that by 9 for 9 months then that gives you the answer.


6 0
3 years ago
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Run a multiple regression where the dependent variable is ratings and the independent variables are star and fact. Use data from
Vanyuwa [196]

Answer:

See explaination

Step-by-step explanation:

See attachment for diagram

The r value is 0.373 (low). This implies a weak correlation between the dependent and independent variables for this sample.

The overall p- value for the regression model is 0.0017. This implies that at least one of the two independent variables (x1 or x2) in the model is significant predictor of the dependent variable y.

p- values for the both "Fact" and "Star" are < 0.05. This means both the independent variables are significant predictors of the "Rating" at 95% confidence level. The variable "Fact" is significant at 99% level of confidence also. This means the rating viewers award to a movie depends upon both the storyline (fact or Fiction) and the presence or absence of stars.

Expected rating for a fact based movie with no stars = 1.7991(1) + 1.2586(0) + 12.5685 = 14.37

Expected rating for a fiction based movie with a star = 1.7991(0) + 1.2586(1) + 12.5685 = 13.83

So, one may expect a fact based movie without any stars to get better ratings than a fiction based movie with one star.

7 0
3 years ago
Simplify 36*3.<br> O A. 35<br> B. 36<br> O C. 37<br> O D. 96<br> HELP ME
Lelu [443]

Answer:

12/1

Step-by-step explanation:

hope this helped if not sorry

6 0
3 years ago
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