A rocket motor is manufactured by bonding together two types of propellants, an igniter and a sustainer. The shear strength of the bond y is thought to be a linear function of the age of the...


A rocket motor is manufactured by bonding together two types of propellants, an igniter and a sustainer. The shear strength of the<br>bond y is thought to be a linear function of the age of the propellant x when the motor is cast. Twenty observations are shown in the<br>following table.<br>Obs. No. Strength (psi) y Age (weeks) x<br>Obs. No. Strength (psi) y Age (weeks) x<br>1<br>2170.90<br>14.25<br>11<br>2183.40<br>14.25<br>2<br>1,678.15<br>23.75<br>12<br>2,399.55<br>3.75<br>3<br>2,316.00<br>8.00<br>13<br>1,779.80<br>25.00<br>4<br>2,061.30<br>17.00<br>14<br>2,336.75<br>9.75<br>5<br>2,207.50<br>5.00<br>15<br>1,765.30<br>22.0<br>6<br>1,708.30<br>19.00<br>16<br>2,053.50<br>18.00<br>7<br>1,784.70<br>24.00<br>17<br>2,414.40<br>6.00<br>8<br>2,575.00<br>2.50<br>18<br>2,200.50<br>12.50<br>9.<br>2,357.90<br>7.50<br>19<br>2,654.20<br>2.00<br>10<br>2,277.70<br>11.00<br>1,753.70<br>21.50<br>20<br>

Extracted text: A rocket motor is manufactured by bonding together two types of propellants, an igniter and a sustainer. The shear strength of the bond y is thought to be a linear function of the age of the propellant x when the motor is cast. Twenty observations are shown in the following table. Obs. No. Strength (psi) y Age (weeks) x Obs. No. Strength (psi) y Age (weeks) x 1 2170.90 14.25 11 2183.40 14.25 2 1,678.15 23.75 12 2,399.55 3.75 3 2,316.00 8.00 13 1,779.80 25.00 4 2,061.30 17.00 14 2,336.75 9.75 5 2,207.50 5.00 15 1,765.30 22.0 6 1,708.30 19.00 16 2,053.50 18.00 7 1,784.70 24.00 17 2,414.40 6.00 8 2,575.00 2.50 18 2,200.50 12.50 9. 2,357.90 7.50 19 2,654.20 2.00 10 2,277.70 11.00 1,753.70 21.50 20
Fit a linear regression model.<br>(a) Test for significance of regression with a =<br>0.01.<br>fo<br>(Round your answer to 2 decimal places.)<br>Is the model significant?<br>(b) Estimate the standard errors of the intercept and slope.<br>se( ß o)<br>i<br>(Round your answer to 3 decimal places.)<br>se( B 1) =<br>(Round your answer to 3 decimal places.)<br>i<br>(c) Test the hypothesis Ho: B1<br>- 30 versus H1: Bi # – 30 using a = 0.10.<br>to = i<br>(Round your answer to 3 decimal places.)<br>Is the slope equal to -30?<br>(d) Test the hypothesis Ho: Bo = 0 versus H1: Bo 7 0 using a = 0.01.<br>to<br>(Round your answer to 3 decimal places.)<br>Is the intercept significant in the model?<br>(e) Test the hypothesis Ho: Bo<br>2500 versus H1: Bo > 2500 using a =<br>-0.025.<br>to=<br>(Round your answer to 3 decimal places.)<br>Is the intercept significantly greater than 2500?<br>

Extracted text: Fit a linear regression model. (a) Test for significance of regression with a = 0.01. fo (Round your answer to 2 decimal places.) Is the model significant? (b) Estimate the standard errors of the intercept and slope. se( ß o) i (Round your answer to 3 decimal places.) se( B 1) = (Round your answer to 3 decimal places.) i (c) Test the hypothesis Ho: B1 - 30 versus H1: Bi # – 30 using a = 0.10. to = i (Round your answer to 3 decimal places.) Is the slope equal to -30? (d) Test the hypothesis Ho: Bo = 0 versus H1: Bo 7 0 using a = 0.01. to (Round your answer to 3 decimal places.) Is the intercept significant in the model? (e) Test the hypothesis Ho: Bo 2500 versus H1: Bo > 2500 using a = -0.025. to= (Round your answer to 3 decimal places.) Is the intercept significantly greater than 2500?
Jun 09, 2022
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