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777dan777 [17]
3 years ago
7

. Statisticians use linear regression to a) Make sure the X and Y scores match b) Predict unknown Y scores from unknown X scores

c) Predict known Y scores from known X scores d) Predict unknown Y scores from known X scores
Mathematics
1 answer:
cluponka [151]3 years ago
3 0

Answer:

D

Step-by-step explanation:

In this question we are asked to pick the correct option that clearly states what statisticians use linear regression for.

To answer this question, I shall be considering the validity of the options one after the other.

But before that , what is a linear regression model?

A linear regression model employs a linear plot to explain the relationship between a dependent variable and another variable called the independent variable.

Option a is wrong.

A regression model does not say if the dependent and independent variables match

Option B is wrong

A linear regression model cannot be used to predict the value of an unknown dependent variable from the unknown Independent variables. X is the independent here with y the dependent

Option C is wrong

Since Y scores is known, then what are we predicting again?

Option. D is correct

We predict values of the unknown dependent variable y from the known independent variable x

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1,8,27; 64; Rule Missing numbers​
zubka84 [21]

Answer:

  rule: f(n) = n³

  missing numbers: 125, 216, 343, 512, 729

Step-by-step explanation:

Your familiarity with the cubes of small integers helps you recognize each of these numbers is a cube. Their sequence is the sequence of cubes of increasing natural numbers.

  1 = 1·1·1 = 1³

  8 = 2·2·2 = 2³

  27 = 3·3·3 = 3³

  64 = 4·4·4 = 4³

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The rule is ...

  f(n) = n³

The cubes of 5 through 9 will complete the set of numbers ...

  1, 8, 27, 64, 125, 216, 343, 512, 729

7 0
2 years ago
What % of 400 is 85?
quester [9]
21.25% because 85/400 = .2125 which is 21.25%
6 0
3 years ago
Ali is paid $200 for working 8 hours.How much is he paid for working 6 hours?​
artcher [175]

Answer:

$150

Step-by-step explanation:

6 0
3 years ago
Read 2 more answers
Which is the equation of a line perpendicular to the line with the equation:<br>y = 1/4x + 2​
Wittaler [7]

Answer:

4x + y = k

Step-by-step explanation:

=> 4y = x + 8

=> x - 4y = -8

Slope = 1/4

The other line's slope = -4

4x + y = k is the answer.

4 0
3 years ago
A sample of eight workers in a clothing manufacturing company gave the following figures for the amount of time(in minutes) need
lilavasa [31]

Answer:

10.108 < \mu < 13.892    

Step-by-step explanation:

1) Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

\bar X represent the sample mean for the sample  

\mu population mean (variable of interest)

s represent the sample standard deviation

n represent the sample size  

We have the following distribution for the random variable:

X \sim N(\mu , \sigma=0.45)

And by the central theorem we know that the distribution for the sample mean is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

2) Confidence interval

The confidence interval for the mean is given by the following formula:

\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}   (1)

In order to calculate the mean and the sample deviation we can use the following formulas:  

\bar X= \sum_{i=1}^n \frac{x_i}{n} (2)  

s=\sqrt{\frac{\sum_{i=1}^n (x_i-\bar X)}{n-1}} (3)  

The mean calculated for this case is \bar X=12

The sample deviation calculated s=2.268

In order to calculate the critical value t_{\alpha/2} we need to find first the degrees of freedom, given by:

df=n-1=8-1=7

Since the Confidence is 0.95 or 95%, the value of \alpha=0.05 and \alpha/2 =0.025, and we can use excel, a calculator or a tabel to find the critical value. The excel command would be: "=-T.INV(0.025,7)".And we see that t_{\alpha/2}=2.36

Now we have everything in order to replace into formula (1):

12-2.36\frac{2.268}{\sqrt{8}}=10.108    

12+2.36\frac{2.268}{\sqrt{8}}=13.892

So on this case the 95% confidence interval would be given by (10.108;13.892)

10.108 < \mu < 13.892    

7 0
3 years ago
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