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use spss

Sections B, C, D, E, F, and H are based on the data described below. Data Description 0 datetime: hourly date + timestamp - season: 0 1 = spring, 0 2 = summer, 0 3 = fall, 0 4 = winter 0 holiday: whether the day is considered a holiday (0 = Not a holiday; 1 = Holiday) 0 workingday: whether the day is neither a weekend nor holiday (0 = Weekend/holiday; 1 = Working day) 0 weather: 0 1: Clear 0 2: Misty or Cloudy o 3: Rain or Snow - temp - temperature in F o atemp - "feels like" temperature in F o humidity - relative humidity in percent 0 windspeed - wind speed in mph 0 casual - number of non-registered user rentals initiated 0 registered - number of registered user rentals initiated 0 count - number of total rentals 0 casua|_di: median split on casual to categorize into two groups. 0 = Low, 1 = High Section G Question 50 (6.5 points) Run a factor analysis on the following variables: temp, atemp, humidity, windspeed, casual, registered, and count. Use the method Principle Components with rotation set to Direct Oblimin. Use the defaults for Extraction (Extract based on Eigen Value; Eigen Values Greater than 1). This will be referred to as Analysis H. Review the results of Analysis H. How many components were extracted? Question 51 (6.5 points) Review the results of Analysis G. What is the cumulative % variance explained by the extracted components? St Question 52 (6.5 points) Review the results of Analysis G. Which of the following variables have an extracted communality that is not acceptable (i.e., too low)? 0 Temperature 0 Windspeed Q Humidity O All extracted communalities are acceptable Question 53 (6.5 points) Review the results of Analysis G. Based on the pattern matrix which of the following best represent the component structure of the variables. Component 1: casual, temp, registered, atemp Component 2: count, humidity, windspeed Component 1: casual, registered, count Component 2: temp, atemp Component 3: humidity, windspeed Component 1: casual, temp Component 2: registered, atemp Component 3: count, humidity, windspeed Component 1: casual, registered, count Component 2: temp, atemp, humidity, windspeed