number of elements =428
variables =5
observations =428 ( 1 observation set for each element)
measurements =428*5 =2140
categorical variables: Drive train
1. Data set basics Elements, variables, observations, measurements, and data types An analyst collected data on...
1. Data set basics - Elements, variables, observations, measurements, and data types 1. Data set basics Elements, variables, observations, measurements, and data types Aa Aa Students in a business statistics class developed a pricing model for diamond stones. The top and bottom portions of the data set that the students collected are reproduced below; dots indicate that the intervening rows in the data set are not displayed. (Source: Singfat Chu, "Pricing the C's of Diamond Stones," Journal of Statistics Education,...
1. Data set basics - Elements, variables, observations, measurements, and data types
The data set "mtcars" in R has 11 variables with 32 observations. A data frame with 32 observations on 11 variables. [, 1] mpg Miles/(US) gallon [, 2] cyl Number of cylinders [, 3] disp Displacement (cu.in.) [, 4] hp Gross horsepower [, 5] drat Rear axle ratio [, 6] wt Weight (1000 lbs) [, 7] qsec 1/4 mile time [, 8] vs V/S [, 9) am Transmission (0 = automatic, 1 = manual) [,10] gear Number of forward gears...
please answer the following using the r code provided . The data set below contains information about the gasoline mileage performance for 32 au- tomobiles. We are interested in developing a model to predict the miles per gallon () using related predictor variables. The variables in the study are Dependent variable: Miles per gallon (v) Independent variables: ri horsepower (ft-lb) ra: torque (ft-lb) r: horsepower+torque (ft-lb) rs: carburetor (barrels) (a) We first start by fitting a model using y and...