Question

In: Statistics and Probability

An experiment was conducted to observe the effect of an increase in temperature on the potency...

An experiment was conducted to observe the effect of an increase in temperature on the potency of an antibiotic. Three 1-ounce portions of the antibiotic were stored for equal lengths of time at each of the following Fahrenheit temperatures: 40, 55, 70, and 90. The potency readings observed at the end of the experimental period were

Potency reading, y: 49 38 27 24 38 33 19 28 16 18 23

Temperature, x: 40 40 40 55 55 55 70 70 70 90 90

a) Find the least-squares line appropriate for these data.

b) Calculate the 95% confidence intervals for B0 and B1

Solutions

Expert Solution

a)

Formula sheet

Sxx Syy Sxy
(x) (y) (x-xbar)^2 (y-ybar)^2 (x-xbar)(y-ybar)
40 49 =(G3-$G$15)^2 =(H3-$H$15)^2 =(G3-$G$15)*(H3-$H$15)
40 38 =(G4-$G$15)^2 =(H4-$H$15)^2 =(G4-$G$15)*(H4-$H$15)
40 27 =(G5-$G$15)^2 =(H5-$H$15)^2 =(G5-$G$15)*(H5-$H$15)
55 24 =(G6-$G$15)^2 =(H6-$H$15)^2 =(G6-$G$15)*(H6-$H$15)
55 38 =(G7-$G$15)^2 =(H7-$H$15)^2 =(G7-$G$15)*(H7-$H$15)
55 33 =(G8-$G$15)^2 =(H8-$H$15)^2 =(G8-$G$15)*(H8-$H$15)
70 19 =(G9-$G$15)^2 =(H9-$H$15)^2 =(G9-$G$15)*(H9-$H$15)
70 28 =(G10-$G$15)^2 =(H10-$H$15)^2 =(G10-$G$15)*(H10-$H$15)
70 16 =(G11-$G$15)^2 =(H11-$H$15)^2 =(G11-$G$15)*(H11-$H$15)
90 18 =(G12-$G$15)^2 =(H12-$H$15)^2 =(G12-$G$15)*(H12-$H$15)
90 23 =(G13-$G$15)^2 =(H13-$H$15)^2 =(G13-$G$15)*(H13-$H$15)
Total =SUM(G3:G13) =SUM(H3:H13) =SUM(I3:I13) =SUM(J3:J13) =SUM(K3:K13)
mean =G14/5 =H14/5
b1 =K14/I14 Sxy/Sxx
b0 =H15-K16*G15 ybar-b1*xbar
Sxx Syy Sxy
(x) (y) (x-xbar)^2 (y-ybar)^2 (x-xbar)(y-ybar)
40 49 9025 184.96 1292
40 38 9025 605.16 2337
40 27 9025 1267.36 3382
55 24 6400 1489.96 3088
55 38 6400 605.16 1968
55 33 6400 876.16 2368
70 19 4225 1900.96 2834
70 28 4225 1197.16 2249
70 16 4225 2171.56 3029
90 18 2025 1989.16 2007
90 23 2025 1568.16 1782
Total 675 313 63000 13855.76 26336
mean 135 62.6
b1 0.418031746 Sxy/Sxx
b0 6.165714286 ybar-b1*xbar

The  regression line is

y = 6.1657 + 0.4180 x

b)

Since, n=11 and standard deviation is unknown, hence we use t statistic to calculate confidence interval

lower limit for b0 0.8905611
Upper limit for b0 11.440867
lower limit for b1 0.4467487
upper limit for b1 0.3893148

Formula sheet

lower limit for b0 =K17-TINV(0.025,9)*SQRT(STDEV(H3:H13)*((1/11)+(G15^2/I14)))
Upper limit for b0 =K17+TINV(0.025,9)*SQRT(STDEV(H3:H13)*((1/11)+(G15^2/I14)))
lower limit for b1 =K16-T.INV(0.025,9)*SQRT(STDEV(H3:H13)/I14)
upper limit for b1 =K16+T.INV(0.025,9)*SQRT(STDEV(H3:H13)/I14)

0.8906 < b0 < 11.4409

0.3893 < b1 < 0.4467


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