Question

QUESTION 9 Because some people are unable to stand to have their height measured, doctors use...

QUESTION 9

Because some people are unable to stand to have their height measured, doctors use the height from the floor to the knee to approximate their patients’ height (in cm).

Height of Knee Overall Height
57.7 192.3
47.5 153.3
43.5 146.2
44.8 160.4
55.6 171.4
54.9 176.7

a. Use Excel to determine the correlation coefficient of this data

b. Use Excel to determine the regression equation of this data

c. Find the overall height from a knee height of 47.3 cm

d. Find the overall height from a knee height of 55.2 cm

Choose one • 20 points

  • a. r = 0.83833586

    b. Equation: y = 2.5163x + 39.226

    c. 158.24699

    d. 178.12576

  • a. r = 0.91541578

    b. Equation: y = 2.5163x + 39.226

    c. 158.24699

    d. 178.12576

  • a. r = 0.91541578

    b. Equation: y = 2.5163x + 39.226

    c. 157.4921

    d. 177.6225

  • a. r = 0.0.83833586

    b. Equation: y = 2.5163x + 39.226

    c. 157.4921

    d. 177.6225

Homework Answers

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
Because elderly people may have difficulty standing to have their heights measured, a study looked at...
Because elderly people may have difficulty standing to have their heights measured, a study looked at predicting overall height from the height to the knee. The data (in cm) for five elderly men is as follows: Knee Height, x 57.7 47.4 43.5 44.8 55.2 Overall Height, y 192.1 153.3 146.4 162.7 169.1 Mean of Knee Height, x and Overall Height, y. Variance of Knee Height, x and Overall Height, y. Standard deviation of Knee Height, x and Overall Height, y?...
A residual is: The difference between a data point and the regression line. A value that...
A residual is: The difference between a data point and the regression line. A value that can be 1 or zero. A value that is always negative because it is a difference The difference between two different lines. The properties of r include: r is sensitive to very high quantities The value of r is not affected if the values of either variable are converted into a different scale You must define the independent and dependent variables All of the...
10. Because elderly people may have difficulty standing to have their heights measured, a study looked...
10. Because elderly people may have difficulty standing to have their heights measured, a study looked at predicting overall height from height to the knee. Suppose the correlation between height and knee height of elderly people is 0.82. Assume that both overall heights and knee heights are normally distributed. If an elderly person’s knee height is at the 39th percentile, what would be his/her percentile in height? (you should be able to find an exact answer). Question 10 options: A)...
Homework 4 Question 2 A large school district is reevaluating its teachers' salaries. They have decided...
Homework 4 Question 2 A large school district is reevaluating its teachers' salaries. They have decided to use regression analysis to predict mean teacher salaries at each elementary school. The researcher uses years of experience to predict salary. The resulting equation was: where Y = salary and X = years of experience. The raw data is given in the table below. Salary Years of experience $54,000.00 13 $42,140.00 9 $36,195.00 7 $45,000.00 9 $58,950.00 14 $56,890.00 13 $53,250.00 14 $49,800.00...
You may need to use the appropriate technology to answer this question. Consider the following data...
You may need to use the appropriate technology to answer this question. Consider the following data on price ($) and the overall score for six stereo headphones tested by a certain magazine. The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest). Brand Price ($) Score A 180 76 B 150 69 C 95 63 D 70 56 E 70 38 F 35 28 (a) The estimated regression...
You may need to use the appropriate technology to answer this question. Consider the following data...
You may need to use the appropriate technology to answer this question. Consider the following data on price ($) and the overall score for six stereo headphones tested by a certain magazine. The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest). Brand Price ($) Score A 180 76 B 150 71 C 95 61 D 70 58 E 70 42 F 35 28 (a) The estimated regression...
You may need to use the appropriate technology to answer this question. Consider the data. xi...
You may need to use the appropriate technology to answer this question. Consider the data. xi 2 6 9 13 20 yi 7 19 10 28 21 (a) What is the value of the standard error of the estimate? B)Test for a significant relationship by using the t test. Use α = 0.05. State the null and alternative hypotheses. H0: β1 ≠ 0 Ha: β1 = 0 H0: β0 = 0 Ha: β0 ≠ 0     H0: β1 = 0 Ha:...
A gardener plants 300 sunflower seeds (of a brand called KwikGrow) and, after 2 weeks, measures...
A gardener plants 300 sunflower seeds (of a brand called KwikGrow) and, after 2 weeks, measures the seedlings’ heights (in mm). These heights are recorded in the file Sunflower.csv. He is interested in testing whether the mean height of sunflowers grown from KwikGrow seeds is greater than 33 mm two weeks after planting. He decides to conduct a hypothesis test by assuming that the sampling distribution of the sample mean has a normal distribution. For the purposes of this question,...
Data on the fuel consumption yy of a car at various speeds xx is given. Fuel...
Data on the fuel consumption yy of a car at various speeds xx is given. Fuel consumption is measured in mpg, and speed is measured in miles per hour. Software tells us that the equation of the least‑squares regression line is^y=55.3286−0.02286xy^=55.3286−0.02286xUsing this equation, we can add the residuals to the original data. Speed 1010 2020 3030 4040 5050 6060 7070 8080 Fuel 38.138.1 54.054.0 68.468.4 63.663.6 60.560.5 55.455.4 50.650.6 43.843.8 Residual −17.00−17.00 −0.87−0.87 13.7613.76 9.199.19 6.316.31 1.441.44 −3.13−3.13 −9.70−9.70 To...