The following data are from an experiment on carnations. The explanatory variable is the amount of inorganicbromine (micrograms per milliliter) in a plot of standard size. The response variable is the average number offlowers per carnation plant for the 30 plants grown in the plot. Which of the following statements is true?BromineAverage No.3 43.2 2.963.7C.72.28 10 12 15 161.8 2.3 1.7 0.8 0.3Select one:a. The value of r is positive and the scatterplot shows that the average number of flowers per carnationincreases as the amount of bromine increases.b. The value of r is negative and the scatterplot shows that the average number of flowers per carnationdecreases as the amount of bromine increases.The value of r is positive and the scatterplot shows that the average number of flowers per carnationdecreases as the amount of bromine increases.d. The value of r is negative and the scatterplot shows that the average number of flowers per carnationincreases as the amount of bromine increases.

Let X: the amount of bromine and Y: the average number of flowers per carnationTotal observations,

Answered: The following data are from an…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 60 35 55 23 22 32 40 36 40 18 38 33 80 28 37 25 Ho: ρ = 0Ha: ρ > 0 Find the Linear Correlation Coefficient r = ? Find the p-value p-value = The p-value is ? Greater than αα or Less than (or equal to) α
You wish to determine if there is a negative linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 48 27 38 32 57 23 43 22 43 32 38 36 72 19 Ho: ρ = 0Ha: ρ < 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The conclusion is There is a significant linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths.
18. We want to study the relationship between size (sq. m) and the price of houses. We randomly chose 25 houses and recorded the size and price of them. The excel output for the data is given below: Regression statistics: Multiple R: 0.586378154 R Square: 0.343839339 Adjusted R Square: 0.315310615 Standard Error: 34761.73162 Observations: 25 df SS MS F SignificanceF Regression 1 14563843876 1.46E+10 12.05239 0.0020659 Residual 23 27792693660 1.21E+09 Total 24 42356537536 Coefficients StandardError T stat P-value lower95% upper95% Lower95.0% upper95.0% Intercept 189769.0334 28557.61831 6.645128 8.85E-07 130693.1 248844.968 130693.1 248844.968 Size (sq.meter) 444.1951525 127.9490924 3.471655 0.002066 179.51229 708.878016 179.51229 708.878016 Write down your answers to (a)-(c) in the box below. Give your answers to 4 decimal places. Write down 95% confidence interval for the slope of the relationship between price and size. We want to…
Bill Alther is a zoologist who studies Anna's hummingbird (Calypte anna). (Reference: Hummingbirds, K. Long, W. Alther.) Suppose that in a remote part of the Grand Canyon, a random sample of six of these birds was caught, weighed, and released. The weights (in grams) were as follows. 3.7 2.9 3.8 4.2 4.8 3.1 The sample mean is = 3.75 grams. Let x be a random variable representing weights of hummingbirds in this part of the Grand Canyon. We assume that x has a normal distribution and ? = 0.64 gram. Suppose it is known that for the population of all Anna's hummingbirds, the mean weight is ? = 4.30 grams. Do the data indicate that the mean weight of these birds in this part of the Grand Canyon is less than 4.30 grams? Use ? = 0.10. Level of significance = .10 Null and alternate hypotheses. - H0: ? = 4.3 g; H1: ? < 4.3 g; left-tailed Sampling Distribution - The standard normal, since we assume that x has a normal distribution with known ? Compute the z value of the sample test…
Thomas wants to compare the mean concentration of carbon monoxide (CO) on residential versus commercial streets, since these differ in terms of car traffic. In each of three neighborhoods of Montréal (named A, B, and C below), he randomly chooses four locations for each type of street, for a total of 24 observations (2 street types x 3 neighborhoods x 4 locations). At each location, he measures CO concentration in the air over a period of 10 hours (8:00 AM-6:00 PM), and obtains the following data (in ppm/h). Question: Test whether or not the difference between residential and commercial streets in mean atmospheric CO concentration is the same among the three neighborhoods, and whether or not CO concentration in the air is the same, on average, for the two types of streets. Note that Neighborhood is considered a random block factor in the ANOVA. Use significant level= 0.05.
The concentration level of Zinc in milligrams in two types of soil was found to be as follows Soil A: 2.1 4.0 6.3 5.4 4.8 3.7 6.1 3.3 Soil B: 0.6 3.1 2.5 4.0 6.2 1.6 2.2 1.9 5.4 To check the claim that the medians of concentration level in the two soils were unequal, we conducted an appropriate test at and we found that the test statistics is equal to a. 57 b. 65 c. 47 d. None Decision a. we reject the claim b. we fail to reject the claim c. we can’t decide d. None
The following data are from an experiment on carnations. The explanatory variable is the amount of inorganic bromine (micrograms per milliliter) in a plot of standard size. The response variable is the average number of flowers per carnation plant for the 30 plants grown in the plot. Find the change in number of flowers per plant given an increase in 1 µg per mL of inorganic bromine. Amount of bromine Average no. of flowers Select one: O a. -0.216 O b. 0.216 O c. O d. -3.81 4.04 3 3.2 4 2.9 6 3.7 7 2.2 8 1.8 10 2.3 12 1.7 15 16 0.8 0.3
1.2 Using a students responses in Question 1, which student(s) selected a qualitative variable? A. Nonjabulo, Sibongile and Kyle B. Troy C. Troy and Jess D. Jess and Kyle 1.3 Using the students responses in Question 1, which student(s) selected a continuous variable? A. Troy and Khule B. Nonjabulo and Sibongile C. Khule and Kyle D. Sibongile and Kyle
For the following table, the ascending order (sachaill wjill) of samples and their data spread is: Sample R S T Mean 4.9 4.5 5.1 Variance 100 100 100 O ST
Data was collected for a sample of organic snacks. The amount of sugar (in mg) in each snack is summarized in the histogram below. Frequency 14 12 10 n = 8 6 100 102 104 106 108 110 112 114 amount of sugar (mg) What is the sample size for this data set?
is my ans correct
Nexium is a drug that can be used to reduce the acid produced by the body and heal damage to the esophagus. A researcher wants to estimate the proportion of patients taking Nexium that are healed within 8 weeks. A random sample of 224 patients suffering from acid reflux disease is obtained, and 213 of those patients were healed after 8 weeks. a. Identify the population of interest and sample of interest. what is the sample size? b. Describe the parameter of interest. c. Describe the statistic of interest. What value of the statistic obtained?

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS