The data on the Question 3 giv

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The data on the Question 3 offers the peak (in inches) of 20 males and 20 females in addition to the heights of their mom and father. Your activity is to find out whether or not you possibly can predict the peak of males utilizing their father’s peak and whether or not you possibly can predict the peak of females utilizing their mom’s peak.a. Write the null and different hypotheses for these conditions.b. What’s/are the dependent variable(s)?c. What’s/are the impartial variable(s)?d. Run a regression Assessment for every scenario.e. Write every regression equation to foretell peak from respective guardian’s peak.f. What’s the correlation coefficient for the males?g. What’s the correlation coefficient for the ladies?h. What % of variability of the dependent variable in males could be defined by the regression?i. What % of variability of the dependent variable in ladies could be defined by the regression?j. Do you settle for or reject the null hypotheses? Why or why not?ok. If a father’s peak is 72 inches, what would you are expecting his daughter’s peak to be primarily based on the regression data generated?l. If a mom’s peak is 63 inches, what would you are expecting their daughter’s peak to be? m. If a father’s peak is 72 inches, what would you are expecting his son’s peak to be? GenderHeightMother’s HeightFather’s HeightF717275F626369F676770F636269F686962F626366F656476F606369F616468F646066F656568F596364F656765F656467F616072F656572F676772F615967F636071F605866M676462M696569M656467M686468M676272M686966M676272M706768M686371M696667M726571M687175M636670M655869M696664M746871M676468M646266M716674M716373

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