Question

Outliers are usually? Easy to spot on a scatter plot Hard to spot on a scatter...

Outliers are usually?

Easy to spot on a scatter plot

Hard to spot on a scatter plot

Not meant to be included on a scatter plot

The last three data points to the right

A positive straight line relationship:

Shows that as the values of y increase, the values of x decrease

Shows that as the values of x increases, the values of y decreases

Shows that as the values of y decreases, the values of x remain constant

Shows that as the values of x increase, the values of y increase

The independent variable is also known as the response variable.

True

False

Once we have a simple regression line, we can use it to predict values for the independent variable X.

True

False

0 0
Add a comment Improve this question Transcribed image text
Answer #1

1) Outliers are usually easy to spot on a scatter plot.

2) A positive straight line relationship shows that as the value of x increase, the value of y increase.

3) False. The statement that the independent variable is also known as the response variable is incorrect. An independent variable is given the value which is decided by the experimenter. The dependent variable whose value depends on the independent variable is known as the response variable.

4) It is true that once we have a simple regression line, we can use it to predict values for the independent variable X, provided we are given the corresponding value of the dependent variable Y.

Add a comment
Know the answer?
Add Answer to:
Outliers are usually? Easy to spot on a scatter plot Hard to spot on a scatter...
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. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • Find the equation of the regression line for the given data. Then construct a scatter plot...

    Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables has a significant correlation.) Then use the regressiorn equation to predict the value of y for each of the given x-values, if meaningful. The table shows the shoe size and heights (in) for 6 men Shoe size: x-T8.5 110T15|130|135 (a) x=size 10 0 (b)x-size 10.5 3.5 745 725(c)x-s size 16.0 (d)x- size...

  • Find the equation of the regression line for the given data. Then construct a scatter plot...

    Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significa correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city. Height, x 758 621 518 510 492 483 (a)...

  • Find the equation of the regression line for the given data. Then construct a scatter plot...

    Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying, X 2 5 5 (a) x =...

  • Find the equation of the regression line for the given data. Then construct a scatter plot...

    Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variaties have a significant correlation) Then use the regression equation to predict the value of yo each of the given x-values, if meaningful. The table below shows the height in feet) and the number of stories of six notable buildings in a city Heights 772 5110 503 483 Stories 51 (a)x= 501 foot...

  • Find the equation of the regression line for the given data. Then construct a scatter plot...

    Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (Each pair of variables has a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The caloric content and the sodium content​ (in milligrams) for 6 beef hot dogs are shown in the table below. (a)x=180 (b)x=90 ​(c)x=120 (d)x=50 Calories, x   Sodium, y 150  ...

  • Find the equation of the regression line for the given data. Then construct a scatter plot...

    Find the equation of the regression line for the given data. Then construct a scatter plot of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of Height, Stories, y data and draw the regression line. (The pair of variables have a signiicant correlation.) Then use the regression equation to predict the value of y for each of the sb. notable buildings in a city 775 53 619 47 519 46...

  • Find the equation of the regression line for the given data. Then construct a scatter plot...

    Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (The pair of variables have a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying comma xHours spent studying, x 0 2...

  • Find the equation of the regression line for the given data. Then construct a scatter plot...

    Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (The pair of variables have a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The table below shows the heights​ (in feet) and the number of stories of six notable buildings in a city. Height comma xHeight, x 764 625 520 510 492...

  • Find the equation of the regression line for the given data. Then construct a scatter plot...

    Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line (Each pair of variables has a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below. Calories, x 150 170 130 120 90 180 (a)...

  • An article gave a scatter plot along with the least squares line of x = rainfall...

    An article gave a scatter plot along with the least squares line of x = rainfall volume (m3) and y = runoff volume (m3) for a particular location. The accompanying values were read from the plot. х 4 12 14 17 23 30 40 48 55 67 72 81 96 112 127 y 4 10 13 14 15 25 27 44 38 46 53 70 82 99 104 (a) Does a scatter plot of the data support the use of...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT