Questions asked
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Q2: Miss \( H \) consumes \( B \) and \( A \). The price of \( B \) is 30 and the price of \( A \) is 15 . If the income of Miss \( H \) is 210 , how much of \( B \) she can buy? a. 5 b. 7 c. 14 d. 10 e. None of the answers is correct
Let $f: (\mathbb{R}, +) \to (\mathbb{R}, +)$ given by $f(x) = x + 1$. Prove: $f$ is not an isomorphism.
During the first step of the plasmid mutation/insertion experiment, you need to use a restriction endonuclease. Which one of the following listed would you suggest? Explain why.
Explain the following A- how the cache misses can be reduced?
stance between the pair of points (0,-2) and (3,1). If necessary,
please hurry! We are interested in explaining customer traffic in Auto dealerships using the other variables We used Excel to create a regression model relating customer traffic to avertising sie of the faciity and location For the location which is a categorical variable with 3 categoriesSuburban Urban and Ruratwe used Suburban as the base case. Assume that the regression analysis resulted in the following results.(Note that a different data set was used to find these reults than for earlier problems where the data were given. Similarly the output may not be the same as in eartier questions) SUMMARYOUTPUT Regression Statistics Multiple R 0.892 R Square 0.796 Adjusted R Square 0.741 Standard Error 66.955 Observations 20 ANOVA df SS 262047.6 MS Significance F Regression 65511.914.6 4.66372E-05 Residual 15 67245.4 4483.0 Total 19 329293.0 Coefficients Standard Error t Stat p-value Lower 95% Upper 95% Intercept -50.924 75.114 0.678 0.508 -211.026 109.178 Advertising($100s)2.178 0.597 3.649 0.002 0.906 3.450 Size(Acres) 219.689 38.338 5.730 0.000 137.974 301.404 Rural -129.885 45.592 -2.849 0.012 -227.063 32.708 Urban 22.138 32.676 0.677 0.508 47511 91.786 All other things being equal, what do you estimate the difference in traffic will be between dealership in a Suburban location compared to the traffic in an Rural location if you estimate that the traffic will be higher for a Rural locationindicate a positive number otherwise use a negative number. -129.885 0-180.810 OThere is not enough information to answer this questio we would need to re-nun the regression with Urban as a varable. 129.885
The location of the sliding bar in figure below is given by $x = 4m^2$; $m = 3t - t^2$, and the separation of the two rails is 30 cm. Let $B = 0.8(x + 2)^2a_z$ T. Find the voltmeter reading at $t = 0.4$ sec.
For $n \ge 2$, Prove by induction that: \begin{equation*} \sum_{i=2}^{n} i(i-1) = \frac{n(n-1)(n+1)}{3} \end{equation*} You can use the following notation: Sum ($i = 2$, $i = n$) [$i(i-1)$] = $n(n-1)(n+1)/3$
PRICE (Dollars per tonne) 410 Domestic Demand Domestic Supply 390 370 A 350 B 330 P W D 310 C P D 290 270 250 230 210 0 35 70 105 140 175 210 245 280 315 350 QUANTITY (Tonnes of soybeans)
