a large university is interested in learning a large university is interested in

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a large university is interested in learning a large university is interested in learning a large university is interested in learning a large university is interested in learning a large university is interested in learning a large university is interested in learning a large university is interested in learning a large university is interested in learning a large university is interested in learning a large university is interested in learning Homework: Simple Linear Regression Score: 0 of 1 pt 4 of 19 (3 complete) > HW Score: 15 7996, 3 of 11.2.17 Question Help Drug Release Rate Sur. Area to Vol mm2/mm3) Researchers investigated the effect of tablet surface area to volume on the rate at which a drug is released in a controlled elease dosage For sx smilarly shaped tablets with different weights and thicknesses, the dif sonal drug release (% released/ time rate (percentage of drug released divided by the square root of time) was determined. The experimental data are listed in the table. Complete parts a through d 46 40 36 30 28 1.47 1.07 089 0.78 0.6 0 65 a. Fit the simple linear model, E(y)-Po Px, where y drug release rate and x- surface area to volume ratio. y 694+36 33 x (Round to two decimal places as needed ) b. Interpret the estimates of ?0 and ?1 Choose the correct interpretation of the estimate of below. O A. y is the average drug release rate B. io is the drug reloase rate when the surface area to volume ratio is zero ? c. ,is the surface area to volume rato when the drug release rate is zero. O D. i, has no practical meaning Click to select your answer and then click Check Answer 3 p Clear AI Final Check

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Option B is correct.(it is drug release rate when the surface area to volume ration is zero)

?Interpreting the Intercept in a Regression Model:

The intercept (often labeled the constant) is the expected mean value of Y when all X=0. Start with a regression equation with one predictor, X. If X sometimes = 0, the intercept is simply the expected mean value of Y at that value.

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