Figure adapted from: Linear coefficient of correlation coefficient between beta-cell atomic reactor and found cargo throughout the life in Lewis bums: role of beta-cell hyperplasia and hypertrophy. E Montanya, V Nacher, M Biarnes and J Soler (Diabetes 49:1341-1346, 2000) Using the preceding(prenominal) chart address the questions listed below:(A)For the enclose chart: accede AND explicate whether the analog linkup show is a subscribe to link or an indirect/ reverse descent. What would be a liable(predicate) range for a analog correlation coefficient for this graph? apologise your reasoning. If given the analog reverting equality [ lt;em>y = 0.016x + 3.2] which is in the form of y=mx+b: a) What does ?y appoint? b) What does 0.016 in this equation pay off? c) What does 3.2 in this equation maintain? d) Using the inset graph and the above bi unidimensional turnaround equation, calculate the predicted trunk pitch of a rat if the important Cell Mass is 10.1 mg.. consequence: The linear association portrayed in the graph shows a direct commanding relationship between ?-cell crowd together and em luggage compartment weight. That is, there pull up stakes greater ?-cell slew for excessive body weight. This backbreaking relationship suggests a probable range for a linear correlation coefficient to be 0.9 ? 1.0 because the more than closely the variables are associated the higher(prenominal) the r value. Further, for the given linear regression equation y = 0.016x + 3.
2, the restricted variable ?y? represents the ?-cell ken in mg. The touchable sum 0.016 represents the magnitude of the linear relationship between ?-cell mass and body weight. That is, the expected shift in ?-cell mass for a one-unit change in body weight. The real number 3.2 in the equation is the value of ?-cell mass when body weight equals zero. Finally, if the ?-cell mass is 10.1 mg the predicted body weight of a rat impart be 3.36 g [= (0.016Ã10.1)... If you requirement to get a mount essay, post it on our website: Ordercustompaper.com
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