Ex. 6.2. In cloud seeding data clouds (R package HSAUR3”), refitting this data set after removing...

Ex. 6.2. In cloud seeding data clouds (R package HSAUR3”), refitting this data set after removing any observations which may give cause for concern (outliers). Please use R-studio

Expert Solution

So, data5 contain which dataframe there is no any outliers observation.

We can't refiit the data, becuase you not mention which is the dependent variable.

I removed all outliers rows from clouds data.

orchestra answered 1 year ago

Data from a cloud-seeding experiment are in the file CLOUDS on the course website. The file...

Data from a cloud-seeding experiment are in the file CLOUDS on the course website. The file contains rainfall in acre-feet from 52 clouds: 26 of which were chosen at random and seeded with the compound silver nitrate and the other 26 were not seeded with silver nitrate. Simpson, Alsen, and Eden. (1975). A Bayesian analysis of a multiplicative treatment effect in weather modification. Technometrics 17, 161-166. Make a boxplot of the amount of rainfall from the seeded clouds. Discuss. Make...

Please use R to do it. Using the SATGPA data set in Stat2Data package. Test by...

Please use R to do it. Using the SATGPA data set in Stat2Data package. Test by using α= .05 Question: Test if the proportion of MathSAT greater than VerbalSAT is 0.60 > library(Stat2Data) > data("SATGPA") > data(SATGPA) > SATGPA

Use R statictical software. Load the ISLR package to get the Auto data set. Fit below...

Use R statictical software. Load the ISLR package to get the Auto data set. Fit below non-linear models to the Auto data set. We will treat horsepower as the predictor and mpg as the response. • Fit the cubic spline with 3 knots (25th percentile, 50th percentile, and 75th percentile of horsepower) • Fit the natural spline with 3 knots (25th percentile, 50th percentile, and 75th percentile of horsepower) • Fit the smoothing spline by choosing optimal lambda with cross-validation....

/** * Interface for a set data type that supports adding, removing and contains operations. *...

/** * Interface for a set data type that supports adding, removing and contains operations. * @param <T> the type parameter for the elements of the set */ interface SetADT<T> { /** * Add a new element to the set. * @param el the new element to add to the set * @return true if the element has been added to the set, false if it was already in the set * @throws IllegalArgumentException if the new element passed to...

Built in Data In R: This Question uses "cystfibr" data found in "ISwR" package. to access...

Built in Data In R: This Question uses "cystfibr" data found in "ISwR" package. to access this data you need to first install "ISwR" package. then load the library. Type data() to check which built in data are in the package "ISwR". This should show all the available built in data as: We use nickel data for this part. Type >cystfibr to see the data, and then answer the following questions using the data: (a) type ?cystfibr this will open...

Construct a scattergram for each data set. Then calculate r and r 2 for each data...

Construct a scattergram for each data set. Then calculate r and r 2 for each data set. Interpret their values. Complete parts a through d a. x −1 0 1 2 3 y −3 0 1 4 5 Calculate r. r=. 9853 (Round to four decimal places as needed.) Calculate r2. r2=0.9709. (Round to four decimal places as needed.) Interpret r. Choose the correct answer below. A.There is not enough information to answer this question. B.There is a very strong...

Construct a scattergram for each data set. Then calculate r and r2 for each data set....

Construct a scattergram for each data set. Then calculate r and r2 for each data set. Interpret their values. Complete parts a through d. a. x −1 0 1 2 3 y −3 0 1 4 5 Calculate r. r=. 9853.(Round to four decimal places as needed.) Calculate r2. r2=0.9709(Round to four decimal places as needed.) Interpret r. Choose the correct answer below. A.There is not enough information to answer this question. B.There is a very strong negative linear relationship...

For the data set below, calculate r, r 2, and a 95% confidence interval in r...

For the data set below, calculate r, r 2, and a 95% confidence interval in r units. Then write a one- to two-sentence conclusion statement that includes whether the null hypothesis was rejected or not. Assume a two-tailed hypothesis and α = .05. Case 1 Case 2 Case 3 Case 4 Case 5 Case 6 X 1.05 1.15 1.30 2.00 1.75 1.00 Y 2 2 3 4 5 2

Using the package “wooldridge’, and the data ‘hprice1’ (in R-Software) to estimate the model price =...

Using the package “wooldridge’, and the data ‘hprice1’ (in R-Software) to estimate the model price = β0 + β1sqrft + β2bdrms + u , where is the house price measured in thousands of dollars. 1. Write out the results in equation form. 2. What is the estimated increase in price for a house with one more bedroom, holding square footage constant? 3. What is the estimated increase in price for a house with an additional bedroom that is 140 square feet...

The dataset ’anorexia’ in the MASS package in R-Studio contains data for an anorexia study. In...

The dataset ’anorexia’ in the MASS package in R-Studio contains data for an anorexia study. In the study, three treatments (Treat) were applied to groups of young female anorexia patients, and their weights before (Prewt) and after (Postwt) treatment were recorded. The three treatments adminstered were no treatment (Cont), Cognitive Behavioural treatment (CBT), and family treatment (FT). Determine at the 5% significance level if there is a difference in mean weight gain between those receiving no treatment and those receiving...

Question