Question

A data set is provided, entitled oldfaithful_asst, on the duration and height of the Old Faithful...

A data set is provided, entitled oldfaithful_asst, on the duration and height of the Old

Faithful geyser in the Yellowstone National Park.

a.

Construct a scatterplot using Excel or any software (SPSS or Minitab)

between the variables “duration” and “height.” Please title the graph

“Scatterplot 1 Old Faithful” and create labels for both axes.

b.

There seems to be a an outlier in the data set. Although an outlier is not a

detriment to the data analysis, as part of an exercise, identify the outlier and

delete it (simply erase its value, do not replace with zero).

Show the new (second) scatterplot and title the graph “Scatterplot 2

Old Faithful”

Describe

the pattern that emerges.

What might this relationship

imply?

c.

Compute the correlation coefficient between the two variables and interpret

this correlation. Refer to both the strength and direction of the correlation in

your interpretation. Also interpret the correlation in terms of r-squared

(coefficient of determination).

d.

Conduct a regression to predict duration of an eruption using height and

interpret the sample slope coefficient in words.

e.

What is the predicted duration for an eruption that is 115?

Duration Height
240 140
237 140
250 148
243 130
255 125
120 110
260 136
178 125
259 115
245 120
234 120
213 120
255 150
235 140
250 136
110 120
245 148
269 130
251 130
234 136
252 130
254 115
273 136
266 130
284 138
252 120
269 120
250 120
261 95
253 140
255 125
280 130
270 130
241 110
272 110
294 125
440 250
0 0
Add a comment Improve this question Transcribed image text
Answer #1

a) by using given data we can draw the scatter plot:scatterplot old1 faithfull 300 minutes 250 minutes 200 minutes 150 minutes 100 minutes 50 minutes 100 cm 200 cm 225 cm 250 cmb)

Scatterplot 2 old Faithful i can do in another software:

Scatterplot 2 Old Faithful 300 250 200 150 100 100 90 110 120 130 140 150 Height Duration 은d) the regression equation is

duration = 212.6+0.26*(height)

if height increases the amount of duration also increases.

f) the predicted value of duration if height =115

= 212.6+0.26*115

=24478.9

Add a comment
Know the answer?
Add Answer to:
A data set is provided, entitled oldfaithful_asst, on the duration and height of the Old Faithful...
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
  • B) FIND THE CRITICAL VALUES C) Is there sufficient evidence to conclude that there is a...

    B) FIND THE CRITICAL VALUES C) Is there sufficient evidence to conclude that there is a linear correlation between the two​ variables? The eruption height and the time interval after eruption of a geyser were measured and are shown below. Answer parts a-c. Height (x) Interval after (y) 112 64 140 75 115 59 140 73 130 71 110 56 100 54 120 68 Click here to view a table of critical values for the correlation coefficient. a. Find the...

  • Modern medical practice tells us not to encourage babies to become too fat. Is there a positive c...

    Modern medical practice tells us not to encourage babies to become too fat. Is there a positive correlation between the weight x of a 1-year-old baby and the weight y of the mature adult (30 years old)? A random sample of medical files produced the following information for 14 female subjects: X(lb)| 21 25 23 24 20 15 25 21 17 24 26 22 18 19 y (lb) 125 125 120 125 130 120 145 130 130 130 130 140...

  • Consider the following data. Monthly natural gas cost, TL 246 230 269 284 298 322 355...

    Consider the following data. Monthly natural gas cost, TL 246 230 269 284 298 322 355 242 Area of apartment, m2 90 85. 105 110 120 130 140 95 a) Draw the scatter diagram and decide the type of regression function. b) Obtain the least quares regression function. c) Forecast the monthly natural gas cost of an 125 m2 apartment. d) Calculate the determination and correlation coefficients and interpret them.

  • Height vs Weight - Erroneous Data: You will need to use software to answer these questions....

    Height vs Weight - Erroneous Data: You will need to use software to answer these questions. Below is the scatterplot, regression line, and corresponding data for the height and weight of 11 randomly selected adults. You should notice something odd about the last entry.           index height (x) weight (y) inches pounds 1 60 120 2 72 200 3 65 130 4 72 205 5 67 180 6 69 180 7 68 193 8 69 195 9 61 115 10...

  • How do I plot a series graph with this data provided? Month 1987 1988 1989 1990...

    How do I plot a series graph with this data provided? Month 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 Jan 95 104 101 88 132 125 111 127 119 147 Feb 94 100 96 110 109 118 123 129 147 146 Mar 98 99 82 129 101 121 121 132 164 133 Apr 96 88 84 113 111 140 139 108 135 148 May 95 89 85 114 140 141 119 115 124 141 Jun 115 108...

  • Open the data Cars04-HW6&5 and answer questions 13 to 14. 13. Compute the Average, Median, and...

    Open the data Cars04-HW6&5 and answer questions 13 to 14. 13. Compute the Average, Median, and Standard Deviation Horsepower column. Which of the following statement is true? (4 points) a. Median < Average < Standard deviation b. Average < Standard deviation c. Standard deviation d. Average < Median < Standard deviation e. Standard Deviation < Average < Median 14. Using 2-standard deviation rule of thumb and the information you obtained from question 13 which of the following is true? Round...

  • A sample of 10 adult men gave the following data on their heights and weights. Height...

    A sample of 10 adult men gave the following data on their heights and weights. Height (inches) X 62 62 63 65 66 67 68 68 70 72 Weight (pounds) Y 120 140 130 150 142 130 135 175 149 168 a. Generate the scatter plot of this data and graph the regression line in your plot. Include a picture of this graph and explain your impression of how well the line fits the data. b. State the equation of...

  • Modern medical practice tells us not to encourage babies to become too fat. Is there a positive correlation between the weight x of a 1-year old baby and the weight y of the mature adult (30 years ol...

    Modern medical practice tells us not to encourage babies to become too fat. Is there a positive correlation between the weight x of a 1-year old baby and the weight y of the mature adult (30 years old)? A random sample of medical files produced the following information for 14 females. 21 27 25 2420 15 25 21 17 24 6 22 18 19 lb 120 125 120 125 130 120 145 130 130 130 130 140 110 115 In...

  • A sample of 10 adult men gave the following data on their heights and weights. Height...

    A sample of 10 adult men gave the following data on their heights and weights. Height (inches) X 62 62 63 65 66 67 68 68 70 72 Weight (pounds) Y 120 140 130 150 142 130 135 175 149 168 (2 points) Generate the scatter plot of this data and graph the regression line in your plot. Include a picture of this graph and explain your impression of how well the line fits the data. The X is the...

  • Maintaining a healthy weight is important for women’s health. Some physicians recommend being back to your...

    Maintaining a healthy weight is important for women’s health. Some physicians recommend being back to your pre-pregnancy weight six months after giving birth. Public health officials are interested in whether this is a realistic goal. Do the women in North Carolina weigh more than their pre-pregnancy weight six months postpartum? In other words, is the six months post-pregnancy weight greater than their pre-pregnancy weight? Use a paired samples t-test to compare pst6wght (variable 1) and prewght (variable 2). This uses...

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