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julsineya [31]
3 years ago
15

This technique makes no a priori assumption of whether one variable is dependent on the other(s) and is not concerned with the r

elationship between variables; instead it gives an estimate on the degree of association between the variables.
Mathematics
2 answers:
algol [13]3 years ago
7 0

Answer:

Correlation

Step-by-step explanation:

Correlation Vs Regression:

Correlation is often confused with regression but they are two different concepts.

  • Correlation is basically a measure of association or closeness between variables unlike regression which tells us what is the form of relationship and how one independent variable is dependent on the other.
  • In other words, regression is finding out how one variable causes change in another variable and the overall impact of the change on the system. On the other hand correlation is finding out the strength of the relationship between two variables.
  • Regression is represented in terms of whole equation whereas correlation is a single term.
Nookie1986 [14]3 years ago
3 0

Answer: correlation

Step-by-step explanation:

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Your neighbor asks you to feed her cat and water her plants while she is on vacation. she pays you c dollars to feed her cat per
Dmitry [639]

Answer:

cx + wx

Step-by-step explanation:

6 0
3 years ago
Plssssssssssssssssssssssssssssssssssssssssssssss
eduard

Answer:

34 hours

Step-by-step explanation:

Lets call M the number of hours that Maddie volunteered. Ryan volunteered 1 + 3×M hours, and altogether they volunteered 45 hours, so:

1 + 3×M + M = 45

1 + 4M = 45 Subtract 1 in both sides

4M = 44 Divide both sides by 4

M = 11 hours

So Maddie volunteered 11 hours, and Ryan volunteered

1 + 3×11 = 34 hours

3 0
2 years ago
Evaluate <br><img src="https://tex.z-dn.net/?f=%20%5Cfrac%7B%20%7Bm%7D%5E%7B2%7D%20%20%2B%20%20%7Bm%7D%5E%7B%20-%202%7D%20%2B%20
zysi [14]

Answer:

9.5

Step-by-step explanation:

(0.5^2 + 0.5^-2 + 0.5) / 0.5 = 9.5

Hope this help! :)

4 0
4 years ago
HELP!! Im not sure what i did wrong!!
Igoryamba

I'm not sure what exactly you did wrong, but I agree with you that the sample size is too small, so the correct answer will probably be the fourth options. Hope that this gives you some confidence, and 'm sorry not to be able to help you any further...

7 0
3 years ago
Which statements are true about the interquartile range? Select all that apply.
PilotLPTM [1.2K]

Answer:

The true statements are:

B. Interquartile ranges are not significantly impacted by outliers

C. Lower and upper quartiles are needed to find the interquartile range

E. The data values should be listed in order before trying to find the interquartile range

Step-by-step explanation:

The interquartile range is the difference between the first and third quartiles

Steps to find the interquartile range:

  • Put the numbers in order
  • Find the median Place parentheses around the numbers before and after the median
  • Find Q1 and Q3 which are the medians of the data before and after the median of all data
  • Subtract Q1 from Q3 to find the interquartile range

The interquartile range is not sensitive to outliers

Now let us find the true statements

A. Subtract the lowest and highest values to find the interquartile range ⇒ NOT true (<em>because the interquartial range is the difference between the lower and upper quartiles</em>)

B. Interquartile ranges are not significantly impacted by outliers ⇒ True <em>(because it does not depends on the smallest and largest data)</em>

<em />

C. Lower and upper quartiles are needed to find the interquartile range ⇒ True <em>(because IQR = Q3 - Q2)</em>

<em />

D. A small interquartile range means the data is spread far away from the median ⇒ NOT true (<em>because a small interquartile means data is not spread far away from the median</em>)

E. The data values should be listed in order before trying to find the interquartile range  ⇒ True <em>(because we can find the interquartial range by finding the values of the upper and lower quartiles)</em>

4 0
3 years ago
Read 2 more answers
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