Question

The equation for predicting average steps per day from steps taken on Monday is: Y' =...

The equation for predicting average steps per day from steps taken on Monday is: Y' = 5000 + .4(X). The correlation between Monday and average steps per day = .80. Interpret this correlation (2 points - make sure you give me both a scientific and a colloquial explanation).

What is the coefficient of determination (1 point)? Interpret this value (1 point).

Homework Answers

Answer #1

Given:

The equation for predicting average steps per day from steps taken on Monday is: Y' = 5000 + .4(X).

The correlation between Monday and average steps per day = .80.

r = 0.80 = 80%

There is strong positive relationship between the steps take on Monday & average steps per day.

Positive correlation : When one variable increases as the other variable increases, or one variable decreases while the other decreases.

Here if there is increase in number of steps per day there will be increase in steps on Monday & vice versa.

Means increase in one variable will result in increase in second variable(80%)

The coefficient of determination :

r^2 = (0.80)^2 = 0.64

So the coefficient of determination is 0.64 = 64%

Interpretation : The coefficient of determination, r^2 indicate a strong positive relationship between two variables.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
4) The regression equation predicting the average weight of a male age 18=24 (y) based on...
4) The regression equation predicting the average weight of a male age 18=24 (y) based on his height (x) is giben by y= 172.63+4.842x. Describe the correlation between height and weight based on the slop of the regression line. a) positive correlation since the magnitude of the slope is large relative to the intercept. b) negative correlation since the magnitude of the slope is small relative to the intercept. c) positive correlation since the slope is positive. d) positive correlation...
The table below gives the number of hours spent unsupervised each day as well as the...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would...
The table below gives the number of hours spent unsupervised each day as well as the...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1xy, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would...
The table below gives the number of hours spent unsupervised each day as well as the...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would...
The table below gives the number of hours spent unsupervised each day as well as the...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, y ˆ = b 0 + b 1 x y^=b0+b1x , for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically...
The table below gives the number of hours spent unsupervised each day as well as the...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would...
The table below gives the number of hours spent unsupervised each day as well as the...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would...
The table below gives the number of hours spent unsupervised each day as well as the...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would...
The table below gives the number of hours spent unsupervised each day as well as the...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would...
The table below gives the number of hours spent unsupervised each day as well as the...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT