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Arte-miy333 [17]
3 years ago
12

g True or False: Regression analysis is used for prediction, while correlation analysis is used to measure the strength of the a

ssociation between two numerical variables. A. True B. False
Mathematics
1 answer:
larisa [96]3 years ago
5 0

Answer:

The given statement is true.

Step-by-step explanation:

Regression Analysis:

  • Regression analysis is a technique that help us to find or define a relationship between a dependent and an independent variable.
  • It helps us to predict the dependent variables with the help of independent variables.
  • Various techniques are used for the prediction of independent variable.
  • It is a type of predictive statistical technique and helps us to find whether there is a significant relationship between the dependent and the independent variable.

Correlation analysis:

  • Correlation is a technique that help us to find or define a relationship between two variables.
  • It is a measure of linear relationship between two quantities.
  • It is not necessary that the that out of the two variable one needs to be dependent and the other to be independent.
  • Correlation can be positive, negative or zero correlation.

Thus, the given statement is true.

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nevsk [136]

Answer:

188 students would play sports, out of 1,000.

Step-by-step explanation:

If the probability that a random high school student plays a sport is 0.188 (150/800), which means for every 1 high school student 0.188 of them play a sport. Multiply 0.188x1,000 to get 188 students who play a sport.

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Brayden tosses a coin 500 times. Of those 500 times, he observes heads a total of 416 times. Calculations show that the probabil
elena-14-01-66 [18.8K]

Answer: The probability of this ocurring by chance is less than 0.01.

The meaning of the significance level is that it tells that there is difference of 1% level when there is no actual difference.

Step-by-step explanation:

Since we have given that

Number of times a coin tossed = 500

Number of times head occurs = 416

So, our Z-score would be

Z_\alpha =\dfrac{416}{500}=0.832

So, At significance level of 0.01, p-value of Z-score is .202704.

and p-value < 0.01, i.e. 0.202704<0.832.

Hence, the probability of this ocurring by chance is less than 0.01.

The meaning of the significance level is that it tells that there is difference of 1% level when there is no actual difference.

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Answer: 13.2 feet

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AB

Step-by-step explanation:

I believe because on the other side it is AE over ED so I just repeated the pattern.

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