Question

Question 3 of 3 The birth lengths in cm (x) and birth weights in kg (y) of a sample of 50 newborn female babies are compared, yielding a correlation coefficient of r= 0.578 and a linear regression equation of Û = -8.89 + 0.243x. The babies all had lengths between 46.5 and 53.0 cm, and weights between 2.50 and 4.05 kg. Based on this, predict the birth weight of a newborn female baby with a birth length of 48.5 cm. i. Is it appropriate to use the linear regression equation to make the requested prediction for the value of the unknown variable? (click to select) ii. Compute the predicted birth weight. (Input 0 if your answer to part (i) is no.) kg Round to two decimal places.

Answer 1

solution D I s jof coppoopiate stocage to the linear regression equation to make the requested prediction for the value of the att unknown variable INOT OR lo] equaton 1 because Given the regression 95, --8-89 +0-243 a . Heal, y = birth weight which is depedent variable XE bioth length which is independent -__ variables 3D that we can poedict or use above equrition to predict the value of y when value of x is known. Othes than variable x, we can not predild value of Y so only for variablex we can predict the value of y . 2 (1) using at these equation ŷ = -8.89 + 0.24312) we con predict the value of y, when value of x = 48-5 her cm. i ý = -8.89 + 0.243 (4805) .. - 28485 ý } 2.90 .. (round to two decimal - plare) : predicted value of birth weight 1 2.90 kg.