Question

True or False a.) R squared=0 meants that there is no relationships between the two variables....

True or False

a.) R squared=0 meants that there is no relationships between the two variables.

b.) Using the linear regression line, y= a+bx+e, if a=0 and e = 0 then R squared = 0.

c.) In one-way ANOVA, a typical null hypothesis is: all means of groups are equal .

d.) In a recent twin study from researchers at King’s College London, the researchers wanted to first test whether identical twins show statistically significantly different thigh muscular power. To test this, they recruited 20 identical female twins. For this analysis, one-way ANOVA is preferred than the two group t-test.

Homework Answers

Answer #1

a )  R squared=0 means that there is no relationships between the two variables.

------------------------------ TRUE

b )  Using the linear regression line, y= a+bx+e, if a=0 and e = 0 then R squared = 0.

----------------------------------------- FALSE

c )   In one-way ANOVA, a typical null hypothesis is: all means of groups are equal .

------------------------------------- TRUE

d )  In a recent twin study from researchers at King’s College London, the researchers wanted to first test whether identical twins show statistically significantly different thigh muscular power. To test this, they recruited 20 identical female twins. For this analysis, one-way ANOVA is preferred than the two group t-test.

-------------------------------------------- FALSE

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
R Code Directions: All work has to be your own, you may not work in groups....
R Code Directions: All work has to be your own, you may not work in groups. Show all work. Submit your solutions in a pdf document on Moodle. Include your R code (which must be commented and properly indented) in the pdf file. Name this pdf file ‘your last name’-HW5.pdf. Also submit one text file with your R code, which must be commented and properly indented. You may only use ‘runif’ to generate random numbers; other random number generating functions...
Linear regression Number of obs = 714 F( 10, 703) = 18.63 Prob > F =...
Linear regression Number of obs = 714 F( 10, 703) = 18.63 Prob > F = 0.0000 R-squared = 0.2102 Root MSE = 7.748 Robust finprof Coef. Std. Err. t P>t [99% Conf. Interval] treatment 4.907879 .5935881 8.27 0.000 3.374736 6.441023 numstudents -.0030472 .0009961 -3.06 0.002 -.00562 -.0004745 numteachers .0252369 .0203227 1.24 0.215 -.0272533 .0777272 perc_fem .0570269 .0189111 3.02 0.003 .0081826 .1058712 perc_momsec .0414125 .0224185 1.85 0.065 -.0164909 .099316 perc_dadsec .0113967 .0244705 0.47 0.642 -.0518067 .0746001 perc_transfer -.0719767 .021672 -3.32...
Linear regression Number of obs = 714 F( 10, 703) = 18.63 Prob > F =...
Linear regression Number of obs = 714 F( 10, 703) = 18.63 Prob > F = 0.0000 R-squared = 0.2102 Root MSE = 7.748 Robust finprof Coef. Std. Err. t P>t [99% Conf. Interval] treatment 4.907879 .5935881 8.27 0.000 3.374736 6.441023 numstudents -.0030472 .0009961 -3.06 0.002 -.00562 -.0004745 numteachers .0252369 .0203227 1.24 0.215 -.0272533 .0777272 perc_fem .0570269 .0189111 3.02 0.003 .0081826 .1058712 perc_momsec .0414125 .0224185 1.85 0.065 -.0164909 .099316 perc_dadsec .0113967 .0244705 0.47 0.642 -.0518067 .0746001 perc_transfer -.0719767 .021672 -3.32...