learn-us-east-1-prod-1 BBC Vietnamese -.. 84% ion to Statistics 273 Cotter Article - Table 2 7 Table 2 Correlations Between all Variables (N - 3848) Variable 1 2 3 56 7 8 I Gender -.00 -.03 06 * 08* ** 2 Race -06 -.03 -.07*#* 3 Health -.17 20*+* 4 Age 09 -27* ** 5 Education 17*** 6 Support -.37*#* .39* * * 7 Strain 8 Control 9 Activity Note P 4.05, P <.01. p jul di tv a macbook aircotter article table hierarchical multiple regression analysis predicting physical activity step variable b se age gender .05 race _07 education .08 self rated health .03 support .06 _05 strain .43 .07 control x> Strain .01 01 AR- = 119. AR- = 016, AR- = 003 Adj. R- - 118. Adj. R2 - .133, Adj. R- - 136, AF (5, 3551) - 69.19 AF (3. 3548) - 21.92 AF (2, 3546) - 6.94 tv 4QUESTION 1 From Table 2, what was the correlation between Health and Education? O a. 0.23 Ob. 0.053 O c. 0.15 O d. 0.001 QUESTION 2 From Table 2, how much variability in Health could be accounted for by Activity? O a. 20% O b. 45% O c. 0.1% O d. 4%QUESTION 3 Was the correlation between Age and Health statistically significant? O a. Yes O b. No O c. Was not reported. QUESTION 4 From Table 3, how much more variability in physical activity did the variables from step 2 accour for than the variables in step 1? O a. 11.8% O b. 13.3% O c. 1.6% O d. 0.3%O d. 0.3% QUESTION 5 How much total variability did the step 3 variables account for in physical activity? O a. 0.3% O b. 13.6% O c. 13.3% O d. 6.94%