Question

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consider the situation where x-accelerated strength o concrete and y 28 day cured strength. Suppose the simple linear regression model s valid for x between 100 and 4000 and that experiment in which n-7, and the x values at which observations are mede are x1-800.x2 = 1 700.x3-2200, x4 = 2600, x5 = 3200, x5-3600, and x7-3800. 1 25 and σ 3 Consider an 1 (a) Calculate o, the standard deviation of F (Round your answer to four decimal placcs.) σβ1 0.1273 (b) What is the probability that the estimated slope based on such observations will be between 1.00 and 1.50? (Round your answer to four decimal places.) If a ma or obiective is to estimate c suppose it is also possible to make a single observation at each of the n 11 values xỉ = 2000 х고 2100, 3 i as accurately as possible, would he experiment with 11 X1I be preferable to the one with -7 Yes x x 2 1 100,000 for the n 11 data, which is smaller than the same value ror the n 7 data. Because this value appears in the denominator or βί the variance is larger ror the choice or x values for the n7 data Yes. Σ x; x 2 1 100,000 or te n 11 data, which larger than the same value for the n = 7 data. Because this value appears in the denominator of β 1 the var noe larger or the choice of x values for the n7 data No. Σ(x,-х)2-1,100,000 for the n-11 data, which is smaller than the same value for the n-7 data. Because this value appears in the denominator of (/·the variance is smaller for the choice of X values for the n-7 data No. Σ x x 2 1 100 000 fo the n 11 data, which is larger than the same value for the n 7 data. Because this value appears in the denominator o u :1 the variance sla gerror the cho ceo x i es orthe n7 data You may need to use the appropriate table in the Appendix of Tables to answer this question. Need Help?Read It Talk to a Tutor

Answer 1

1: ,, 2、、、 800 , 셔00、2200 , 8600, 3aoo. 3600 . 3800 zi ; 800 t IFO。于2200ナ3600 + 3冫00 + 3600+3800 Xi : Ei900 64000 &890000ナ4840000 t 01 6ㅕ60000 tlo840000 12960000 + 14410000 EX521 0000 6 350 Standobd deviaion of : 350 (8o0-255T-Ju4 (3800 -25314)*

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