We use Excel to solve this question-
a) Please see attachments
b) The estimated simple linear regression model is,
y^ = 10.2 + 4 * x
c) Please see attachments
d) The coefficient of determination, R square = 0.90 indicate that
regression function appear to good fit here.
e) at x = 1, the expected number of broken ampules, y^ is given
by,
y^ = 10.2 + 4 * x
y^ = 10.2 + 4 * 1
y^ = 14.2
f) Please see attachments, Yes residuals sum to 0.
4. A substance used in biological and medical research is shipped by airfreight to users in...
*1.21. Airfreight breakage. A substance used in biological and medical research is shipped by air freight to users in cartons of 1,000 ampules. The data below, involving 10 shipments, were collected on the number of times the carton was transferred from one aircraft to another over the shipment route (X) and the number of ampules found to be broken upon arrival (Y). Assume that first-order regression model (1.I) is appropriate. 2 5 7 8 9 10 Xi: Y: 16 9...
Linear regression Airfreight breakage. A substance used in biological and medical research is shipped by air- freight to users in cartons of 1,000 ampules. The data below, involving 10 shipments, were collected on the number of times the carton was transferred from one aircraft to another over the shipment route (X) and the number of ampules found to be broken upon arrival (Y). Assume that first-order regression model (1.1) is appropriate. 9 10 3 4 5 8 0 0 0...
A substance used in biological and medical research is shipped by airfreight to users in cartons of 1,000 ampules. The data below involving 10 shipments, were collected on the number of times the carton was transferred from one aircraft to another over the shipment route (X) and the number of ampules found to be broken upon arrival (Y). i: 1 2 3 4 5 6 7 8 9 10 Xi: 1 0 2 0 3 1 0 1 2 0...
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1. For each of the following regression models, write down the X matrix and 3 vector. Assume in both cases that there are four observations (a) Y BoB1X1 + B2X1X2 (b) log Y Bo B1XiB2X2+ 2. For each of the following regression models, write down the X matrix and vector. Assume in both cases that there are five observations. (a) YB1XB2X2+BXE (b) VYBoB, X,a +2 log10 X2+E regression model never reduces R2, why 3. If adding predictor variables to a...