# Multivariate Analysis Principal Component Analysis and Factor Anal...

## Transcribed Text

Multivariate Analysis Principal Component Analysis and Factor Analysis Using the data below, perform principal component analysis on the following data which are blood par ameter measures: H-WBC H-RBC H-Hgb H-Hct H-MCV H-MCH H-MCHC A1 8.0000 4.8200 14.1000 41.0000 85.0000 29.0000 34.0000 A2 7.3000 5.0200 14.7000 43.0000 86.0000 29.0000 34.0000 A3 4.3000 4.4800 14.1000 41.0000 91.0000 32.0000 35.0000 A4 7.5000 4.4700 4.9000 45.0000 .0000 33.0000 33.0000 A5 7.3000 5.5200 15.4000 46.0000 84.0000 28.0000 33.0000 A6 6.9000 4.8600 .0000 47.0000 97.0000 33.0000 34.0000 A7 7.8000 4.6800 14.7000 43.0000 92.0000 31.0000 34.0000 A8 8.6000 4.8200 15.8000 42.0000 88.0000 33.0000 37.0000 A9 5.1000 4.7100 .0000 .0000 92 .0000 30.0000 32.0000 1. To what extent are the important components able to explain the observed correlations between the variables? 2 Are there any outliers based on the factor scores? 3. What are the most important variables that impact the model of the combination of blood parameters? 4. Performa factor analysis and interpret Cronbach's alpha 5. Interpret the statistical output from the principal components analysis and the factor analysis. Topics: Multiple Regression; Sample Size Calculation and Cross tabulation 1.0 Sample size calculations: 1.1 How much power you will have to see difference of 3.0mg/dl for glucose readings between twogroups of diabetics 400 males and 400 females. fthe standard deviation is 5 for both groups. d* d & Z Z Z TY 7.012 (i(d) 12m² " 1.21 a case-control study todetermine if aneurysmis linked to high cholesterol intake the following was executed. To determine 95%power to detect 5% difference in the proportion of persons with high cholesterol among cases vs. controls and ifthere is a 70% acknowledgement of high cholestero intake among the populace, how many persons should be included in the case and control group? 2.0 Multiple Regression If there it suspected that there an association betweensystolic blood pressure, cholesterol levels and weight. Using the following data set, perform multiple regression analysis in SPSS producing the regression equation, scatter plot with regression plot as well as the correlation analysis value, interpreting the output. SvsBP 140 145 150 155 160 165 168 170 180 184 188 200 Chol 120 121 125 129 135 140 155 165 180 195 210 220 Weight 130 140 145 150 160 165 170 175 180 185 190 200 3.0 Chi- -Square Input the following genotypic data for the categorical variables and perform Cross Tabulation explorationir SPSS. Interpret the output: Eye Color Hair Color Blue Green Brown Black Total Blonde 2 Red Brown Black Total 5 2 10 3 20

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