SCENARIO 17-3 A financial analyst wanted to examine the relationship between salary (in $1,000 ) and 4 variables: age (X1=Age) , experience in the field (X2= Exper ) , number of degrees (X3= Degrees ) , and number of previous jobs in the field ( X4= Prevjobs). He took a sample of 20 employees and obtained the following Microsoft Excel output:
SUMMARY OUTPUT
Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.9920.9840.9792.2674320
Regression Residual Total df41519 SS 4609.8316477.118364686.95000 MS 1152.457915.14122F224.160 Signif F0.0001
Intercept Age Exper Degrees Prevjobs Coeff −9.6111981.327695−0.1067057.311332−0.504168 StdError 2.779886380.114919300.142655590.803241870.44771573 Stat −3.45711.553−0.7489.102−1.126 P-value 0.00350.00010.46600.00010.2778
-Referring to Scenario 17-3, the analyst wants to use an F-test to test H0:β1=β2=β3=β4=0 . The appropriate alternative hypothesis is ________.
1-pentene
A hydrocarbon with the formula C5H10, characterized by having a double bond between two of its carbon atoms, making it an alkene.
Bromine
A halogen element with the symbol Br and atomic number 35, used in various chemical syntheses and as a flame retardant.
Propanal
An aldehyde with the chemical formula C3H6O, characterized by a short carbon chain with a terminal carbonyl group.
Benzoyl Chloride
A reactive organic compound used in organic synthesis, characterized by a benzene ring attached to a carbonyl chloride group.