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Dvinal [7]
2 years ago
8

Think of a problem dealing with two possibly related variables (Y and X) that you may be interested in. Share your problem and d

iscuss why a regression analysis could be appropriate for this problem. Specifically, what statistical questions are you asking? Why would you want to predict the value of Y? What if you wanted to predict a value of Y that’s beyond the highest value of X (for example if X is time and you want to forecast Y in the future)?
Mathematics
1 answer:
nata0808 [166]2 years ago
5 0

Answer:

Explained below.

Step-by-step explanation:

Consider the variables height and weight.

It is usually seen that taller people are heavier than shorter people.

So a regression analysis can be used to specify this belief.

The statistical questions that are being asked here are:

  • What the independent and dependent variables?
  • Are there any other factor influencing the dependent variable other than the independent variable?

The variable <em>Y</em> is considered as the dependent variable and the variable <em>Y</em> is considered as the independent variable.  And the main purpose of the regression analysis is to predict the value of <em>Y</em> when the value of <em>X</em> is given.

The linear regression model can be used to predict the past and future value of the dependent variables provided that the independent variables for those times are provided.

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Please help ASAP pleaseeee no links or fake answers
stira [4]
1) 50x30
2) 2000+409
3) 500+800
6 0
2 years ago
Antar makes a total of $40.75
balu736 [363]

Answer:

The answer would be he sold 11 packs of baseball cards at $0.75 each.

Step-by-step explanation:

11 packs of cards at 75 cents each.

5 0
3 years ago
Maria says that the store can hold about 180 cans. She shows her work as follows. First,20x5=180 100 Next,20x4=80 then,100+80=18
nevsk [136]
Maria is correct according to the problem
3 0
3 years ago
A breakfast cereal producer makes its most popular product by combining just raisins and flakes in each box of cereal. The amoun
yarga [219]

Using the normal distribution, it is found that there is a 0.9192 = 91.92% probability that the total amount of product is less than 575 g.

In a normal distribution with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

  • It measures how many standard deviations the measure is from the mean.  
  • After finding the z-score, we look at the z-score table and find the p-value associated with this z-score, which is the percentile of X.
  • When two normal variables are added, the mean is the sum of the means while the standard deviation is the square root of the sum of the variances.

In this problem, the product is composed by flakes and raisins, and we have that:

\mu_F = 370, \sigma_F = 24, \mu_R = 170, \sigma_R = 7

Hence, the distribution for the total amount of product has <u>mean and standard deviation</u> given by:

\mu = \mu_F + \mu_R = 370 + 170 = 540

\sigma = \sqrt{\sigma_F^2 + \sigma_R^2} = \sqrt{24^2 + 7^2} = 25

The probability that the total amount of product is less than 575 g is the <u>p-value of Z when X = 575</u>, hence:

Z = \frac{X - \mu}{\sigma}

Z = \frac{575 - 540}{25}

Z = 1.4

Z = 1.4 has a p-value of 0.9192.

0.9192 = 91.92% probability that the total amount of product is less than 575 g.

A similar problem is given at brainly.com/question/22934264

5 0
2 years ago
A 16-oz package of rice is $0.79. A 32-oz package is $3.49. Which has the lower unit cost?
soldier1979 [14.2K]
16 ounce bag of rice for $0.04 per unit
5 0
2 years ago
Read 2 more answers
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