Quantitative Analysis

Figure adapted from: Linear coefficient of correlation surrounded by beta-cell piling and form cargo throughout the lifespan in Lewis bums: eccentric of beta-cell hyperplasia and hypertrophy. E Montanya, V Nacher, M Biarnes and J Soler (Diabetes 49:1341-1346, 2000) utilise the preceding(prenominal) chart address the questions listed below:(A)For the inset chart: knuckle under AND explain whether the analog linkup depicted is a need to link or an indirect/inverse descent. What would be a likely range for a analogue correlation coefficient for this graph? Explain your reasoning. If given the linear regression equality [ lt;em>y = 0.016x + 3.2] which is in the form of y=mx+b: a) What does ?y represent? b) What does 0.016 in this par represent? c) What does 3.2 in this comparison represent? d) Using the inset graph and the above linear regression equation, calculate the predicted trunk weight of a denounce if the Beta Cell Mass is 10.1 mg.. Answer: The linear association depicted in the graph shows a direct compulsory relationship between ?-cell potbelly and personify weight. That is, there exit up stakes greater ?-cell mass for excessive body weight. This strong relationship suggests a likely range for a linear correlation coefficient to be 0.9 ? 1.0 because the more closely the variables be associated the higher the r value. Further, for the given linear regression equation y = 0.016x + 3.

2, the restricted variable ?y? represents the ?-cell mass in mg. The real sum 0.016 represents the magnitude of the linear relationship between ?-cell mass and body weight. T hat is, the expected interchange in ?-cell ! mass for a one-unit change in body weight. The real form 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 tell on will be 3.36 g [= (0.016×10.1)... If you want to get a full essay, post it on our website: OrderCustomPaper.com

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