PLS HURRY use the graph to answer the question. Which table of ordered pairs shows a proportional relationship? x 1 12
y 2 6

x 5 12
y 10 6

x 5 8
y 10 4

x 3 5
y 6 10
PLS HURRY use the graph to answer the question. Which - 1

Answers

Answer 1
Answer:

Both lines on the graph show proportional relationships. You want to choose the table that has both of its points on the same line. That would be the 4th one:

... x 3 5

... y 6 10

Answer 2
Answer:

i got the same answer as the other dude but i dont know if i did it the right way. i multiplyed each number opisite from the other so 10 x 3 and 6 x 5 and they both equaled 30 so i guess.?? tell me if i solved this right. probbaly not


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Sin 64degrees=cos x what is the value of x?

Answers

sin 64 = cos x
cos x = 0.899
x =  { \cos}^( - 1) (0.899) = 26 \: degrees

3. Solve for x.
3r + 11
9x-14

Answers

combine the like terms (3x plus 9x) = 12x
(11 plus -19) = -8.

12x -8
divide both sides by 12 and you will have your answer!

How many cups are in 3 gallons? 1 gallon = 16 cups
Label your answer in cups.

Answers

Answer:

There are 48 cups in 3 gallons!

Hope this helped! :)

An ordinary regression model that treats the response Y as normally distributed is a special case of a GLM, with normal random component and identity link function. 1. With a GLM. Y does not need to have a normal distribution and one can model a function of the mean of Y instead of just the mean itself, but In order to get the maximum likelihood estimates the variance of Y must be constant at all values of predictors. ii. The Pearson residual e_inty_i-muhatiysqrt(muhat_) for a GM has a large-sample standard normal distribution (a)) True False, (w) True; (b)) True 00 True True (co False 0 false, Oll) False; IdFalse 00 True (1) False;

Answers

An ordinary Regression model that treats the response Y is (a) True False, (w) True

What is Regression?

A statistical method called regression links a dependent variable to one or more independent (explanatory) variables.

A regression model can demonstrate whether changes in one or more of the explanatory variables are related to changes in the dependent variable.

A) Models for numerical response variable, like ANOVA and linear regression are special cases of GLMs

for these model the following holds

1. Random component has a normal distribution

2. Systematic component α+β₁x₁+β₂x₂+...........βₓxₓ

3. link function = identity (g(µ)=µ)

GLMs can generalise these models with response Y as normally distributed, hence the statement is True

B) With a GLM. Y does not need to have a normal distribution and one can model a function of the mean of Y instead of just the mean itself. but in order to get ML estimates the variance of Y must be small. This small variance of Y is the reason for ML estimator to be the best one. hence the statement is false.

An ordinary Regression model that treats the response Y is (a) True False, (w) True

To learn more about Regression Visit:

brainly.com/question/14313391

#SPJ4

I need these please

Answers

Answer:

Step-by-step explanation:

2x+30=180

2x      = 150

x        =  75

y=30

6. A music video website received 5.000comments on a new song they released
The next day, the artist performed the song
on television and an additional 1500
comments were made on the website. What
was the percent of increase? ​

Answers

Answer:

30%

Step-by-step explanation:

To be able to calculate the percent of increase between two numbers, you have to divide the increase by the initial number and multiply by 100:

Increase= 1,500

Initial number=5,000

Percent of increase=(1,500/5,000)*100

Percent of increase=0.3*100

Percent of increase=30%

According to this, the answer is that the percent of increase was 30%.