Question

Ratio's between heights and weights of sports car tires are : W 72 73 72 70...

Ratio's between heights and weights of sports car tires are :

W

72

73

72

70

70.5

70

70

68.5

70

71

82

H

125

119

126

116

121

120

120

110

123

115

34

Use R to answer the following questions.

Estimate the height for tire with weight 74 lbs.

Homework Answers

Answer #1

> h <- read.csv("C:/Users/pcc/Desktop/h.csv")

>   View(h)

> dim(h)

[1] 11 2

> ## Linear regression ##
> fit=lm(H~W,data = h)
> fit
 
Call:
lm(formula = H ~ W, data = h)
 
Coefficients:
(Intercept)            W  
    572.173       -6.419 
> ## Estimted height for tire with weight 74 lbs ##
 

> pr=data.frame(W=74)

> predict(fit,pr)

       1

97.13773

## So the estimated height for tire when weight is equal to 74 is 97.13771 ##

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
1. The following resting data were collected from three different sports teams (hockey, rugby and football)....
1. The following resting data were collected from three different sports teams (hockey, rugby and football). Ignoring the sport played, run a Kolmogorov–Smirnov test on the age variable. What is the correct expression for the result? ID Sport Age (y) Body mass (kg) Stature (m) Resting heart rate (bpm) Resting systolic blood pressure (mmHg) Resting diastolic blood pressure (mmHg) Resting mean arterial pressure (mmHg) 1 Hockey 18 79 1.83 65 121 79 93 2 Hockey 20 79.9 1.78 50 127...
16. The following resting data were collected from three different sports teams (hockey, rugby and football)....
16. The following resting data were collected from three different sports teams (hockey, rugby and football). Ignoring the sport played, run a Kolmogorov–Smirnov test on the age variable. What is the correct expression for the result? ID Sport Age (y) Body mass (kg) Stature (m) Resting heart rate (bpm) Resting systolic blood pressure (mmHg) Resting diastolic blood pressure (mmHg) Resting mean arterial pressure (mmHg) 1 Hockey 18 79 1.83 65 121 79 93 2 Hockey 20 79.9 1.78 50 127...
Open Three Hospitals data. SETUP: It is believed that the number of injuries recorded in hospital...
Open Three Hospitals data. SETUP: It is believed that the number of injuries recorded in hospital 1 is different from the number of injuries recorded in hospital 2. Given the data your job is to confirm or disprove this assertion. 10. What test/procedure did you perform? (4 points) a. Regression b. Two sided t-test c. One sided t-test d. Confidence Interval 11. What is the statistical interpretation? (4 points) a. Average of data is inconsistent with the claim b. P-value...
A physiological experiment was concluded to study the effect of various factors on a pulse rate....
A physiological experiment was concluded to study the effect of various factors on a pulse rate. The participants took their own pulse. They then were asked to flip a coin. If their coin came up head, they were to run in place for 1 minute. Then everyone took their own pulse again. The dataset pulse.txt, available from Moodle, contains the following variables: ROW- id numbers, from 1 to 92; PULSE1- first pulse rate; PULSE2- second pulse rate; RAN-1=ran in place,...
Can you write the function in python? def remove_outliers(data, num_outliers): # When analyzing data collected as...
Can you write the function in python? def remove_outliers(data, num_outliers): # When analyzing data collected as a part of a science experiment it # may be desriable to remove the most extreme values before performing # other calculations. Complete this function which takes a list of # values and an non-negative integer, num_outliers, as its parameters. # The function should create a new copy of the list with the num_outliers # largest elements and the num_outliers smallest elements removed. #...
Many standard statistical methods that you will study in Part II of this book are intended...
Many standard statistical methods that you will study in Part II of this book are intended for use with distributions that are symmetric and have no outliers. These methods start with the mean and standard deviation, x and s. For example, standard methods would typically be used for the IQ and GPA data here data215.dat. (a) Find x and s for the IQ data. (Round your answers to two decimal places.) s= Here are the numbers obs gpa iq gender...
Your IT department provided you data on patients that received ER services, their GHHS, and their...
Your IT department provided you data on patients that received ER services, their GHHS, and their recovery time. Prepare a report to share with the owners of the facility that will help you make informed decisions about how long you can expect a patients’ recovery time would be based on their GHHS. Based on your findings provide recommendations on your plan moving forward to improve the functioning of your facilities in generating revenue. Prepare a report that addresses each of...
A loan made on March 14 is due September 13 of the following year. Find the...
A loan made on March 14 is due September 13 of the following year. Find the exact time for the loan in a​ non-leap year and a leap year. days. The exact time in a​ non-leap year is ? days The exact time in a leap year is ? days. Data Table Sequential Numbers for Dates of the Year Day of Month Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. 1 1 32 60 91 121...
3. (Lesson 11) Use Minitab Express to conduct a chi-square test to determine if there is...
3. (Lesson 11) Use Minitab Express to conduct a chi-square test to determine if there is a relationship between gender and whether the student said that they would prefer to win an Academy Award, Nobel Prize, or Olympic Medal.  Use the five-step hypothesis testing procedure. [25 points] Step 1: State hypotheses and check assumptions Step 2:Compute the test statistic Step 3: Determine the p-value Step 4: Make a decision (reject or fail to reject the null) Step 5: State a real...
2. (Lesson 11) The “Year” variable represents whether each student identified as a first-year student, sophomore,...
2. (Lesson 11) The “Year” variable represents whether each student identified as a first-year student, sophomore, junior, or senior. Use Minitab Express to conduct a chi-square test to determine if the proportions of students who identify as each year are not all equal. Use the five-step hypothesis testing procedure. [25 points] Step 1: State hypotheses and check assumptions Step 2:Compute the test statistic Step 3: Determine the p-value Step 4: Make a decision (reject or fail to reject the null)...