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Listed below are amounts of bills for dinner and the amounts of the tips that were left. Construct a scatterplot, find the value of the linear correlation coefficient $r$, and find the P-value of $r$. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of $\alpha = 0.01$. If everyone were to tip with the same percentage, what should be the value of $r$? Bill (dollars) Tip (dollars) 31.62 49.91 82.27 85.71 61.95 114.25 3.16 9.74 15.46 11.35 7.42 15.28 Construct a scatterplot. Choose the correct graph below. The linear correlation coefficient is $r = \square$. (Round to three decimal places as needed.)

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In which scenario would a Canadian corporation be exposed to transaction risk? •When conducting transactions with its New York-based customers • When translating financial statements from one currency to another • When purchasing services from another Canadian corporation

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Parasympathetic nervous system is responsible in control of heart rate true or false

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EASY DISCRETHE MATHEMATICS PROBLEM : •Please solve within the next 15mins and show work • Will upvote 4) Fibonacci sequence is as follows: For every integer $k \ge 2$. (1) $F_k = F_{k-1} + F_{k-2}$ recurrence relation (2) $F_0 = 1$, $F_1 = 1$ initial conditions. Prove that $F_k = 3F_{k-3} + 2F_{k-4}$ for every integer $k \ge 4$. You do not have to use mathematical induction, rather I would use College Algebra. Write up your answer neatly, using = signs, so I can follow your work.

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3. (a) If F is as in Theorem 10.7, put A = F'(0), F?(x) = A?¹F(x). Then F?'(0) = I. Show that F?(x) = G? ? G??? ? ... ? G?(x) in some neighborhood of 0, for certain primitive mappings G?, ..., G?. This gives another version of Theorem 10.7: F(x) = F'(0)G? ? G??? ? ... ? G?(x). (b) Prove that the mapping (x, y)?(y, x) of R² onto R² is not the composition of any two primitive mappings, in any neighborhood of the origin. (This shows that the flips B? cannot be omitted from the statement of Theorem 10.7.)

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(1)/(1)/22To estimate the cost behavior for AERT, we will run basic regression analysis. To prepare the data, we need to insert a “1” in the cells that correspond to busy season and a “0” in the cells that correspond to the off-busy season. Since the product sells primarily in the spring and summer, they build up their inventory from the beginning of the year through the first part of June. To do this, in column “C”, starting with cell C2, we insert a 1 for those weeks from the beginning of the year until (and including) 6/4/2022. We insert a “0” (zero) for those weeks starting 6/11/2022 until the end of the year. We will assume we have a huge amount of data, so we will use an excel formula to do this. Note that “if” statements in excel that use dates as the logical qualifier, must use a DATEVALUE function, like this: =IF(A2(1)/(1)/22,90000,0,56140],[1/8/22,92000,0,60549],[(1)/(15)/22,88000,0,59060],[(1)/(22)/22,102000,0,56394],[(1)/(29)/22,98000,0,55108],[(2)/(5)/22,100000,0,55183],[(2)/(12)/22,96000,0,64547],[(2)/(19)/22,98000,0,51210],[(2)/(26)/22,101000,0,49290],[(3)/(5)/22,99000,0,48844],[(3)/(12)/22,103000,0,60009],[(3)/(19)/22,107000,0,61544],[(3)/(26)/22,99000,0,67208],[(4)/(2)/22,98000,0,54091],[(4)/(9)/22,100000,0,51072],[(4)/(16)/22,99000,0,63339],[(4)/(23)/22,97000,0,52175],[(4)/(30)/22,95000,0,52783],[(5)/(7)/22,94000,0,47614],[(5)/(14)/22,92000,0,58742],[(5)/(21)/22,95000,0,61067],[(5)/(28)/22,91000,0,62193],[(6)/(4)/22,92000,0,56988],[(6)/(11)/22,89000,0,47245],[(6)/(18)/22,87000,0,43843],[(6)/(25)/22,86000,0,42402],[(7)/(2)/22,88000,0,44887],[(7)/(9)/22,85000,0,52723],[(7)/(16)/22,82000,0,52471],[(7)/(23)/22,70000,0,41207],[(7)/(30)/22,62000,0,35177],[8/6/22,66000,0,44332],[(8)/(13)/22,64000,0,41851],[(8)/(20)/22,50000,0,31317],[(8)/(27)/22,52000,0,32627],[9/3/22,58000,0,38741],[9/10/22,56000,0,30732],[9/17/22,53000,0,28241],[(9)/(24)/22,49000,0,34195],[10/1/22,40000,0,28026],[(10)/(8)/22,42000,0,30950],[10/15/22,41000,0,27139],[(10)/(22)/22,39000,0,28393],[10/29/22,40000,0,24645],[(11)/(5)/22,38000,0,27353],[11/12/22,39000,0,25071],[(11)/(19)/22,40000,0,24556],[(11)/(26)/22,45000,0,27926],[(12)/(3)/22,47000,0,29237],[(12)/(10)/22,52000,0,30035],[(12)/(17)/22,66000,0,40261]] C2 X fx A B C Week beginning Production Busy 1/1/22 90000 1/8/22 92000 1/15/22 88000 1/22/22 102000 1/29/22 98000 2/5/22 100000 2/12/22 96000 2/19/22 98000 2/26/22 101000 3/5/22 99000 3/12/22 103000 3/19/22 107000 3/26/22 99000 4/2/22 98000 4/9/22 100000 4/16/22 99000 4/23/22 97000 4/30/22 95000 5/7/22 94000 5/14/22 92000 5/21/22 95000 5/28/22 91000 6/4/22 92000 6/11/22 89000 6/18/22 87000 6/25/22 86000 7/2/22 88000 7/9/22 85000 7/16/22 82000 7/23/22 70000 7/30/22 62000 8/6/22 66000 8/13/22 64000 8/20/22 50000 8/27/22 52000 9/3/22 58000 9/10/22 56000 9/17/22 53000 9/24/22 49000 10/1/22 40000 10/8/22 42000 10/15/22 41000 10/22/22 39000 10/29/22 40000 11/5/22 38000 11/12/22 39000 11/19/22 40000 11/26/22 45000 12/3/22 47000 12/10/22 52000 12/17/22 66000 D G H Total Production Cost 0 56140 0 60549 0 59060 0 56394 0 55108 0 55183 0 64547 0 51210 0 49290 0 48844 0 60009 0 61544 0 67208 0 54091 0 51072 0 63339 0 52175 0 52783 0 47614 0 58742 0 61067 0 62193 0 56988 0 47245 0 43843 0 42402 0 44887 0 52723 0 52471 0 41207 0 35177 0 44332 0 41851 0 31317 0 32627 0 38741 0 30732 0 28241 0 34195 0 28026 0 30950 0 27139 0 28393 0 24645 0 27353 0 25071 0 24556 0 27926 0 29237 0 0 40261

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Which of the following best predicts the effect of inserting this gene into the DNA of a bacterial cell? A The recombinant bacterium will produce human insulin using its own transcription and translation machinery. B The recombinant bacterium will not transcribe the human insulin gene because this gene is not normally found in the bacterial genome. C The recombinant bacterium will transcribe the gene but will be unable to translate the mRNA. D The recombinant bacterium will die because it has been exposed to foreign DNA.

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For the uniform distribution pictured below, the probability P(2 ≤ x ≤ 2.5) equals 1/3 3 x none of these 1.3. 1. O 1/6.

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4. How could you distinguish between (a) CaCl$_2$ from AgCl? (b) HClO$_4$ from HCl?

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I see an answer to the question previously posed, but I am not seeing where the demand function was used in the response. Both strategies are showing a profit loss. Is the demand function supposed to be used? Thus, I am resharing my question. You are the owner of QuantCrunch Corporation, a company that recently spent $15,000 to develop a statistical software package. To date, you only have one client. A recent internal study revealed that this client’s demand for your software is Qd = 300 – 0.2P. It would cost you $1,000 per unit to install and maintain the software at this client’s site. So, TC = 15,000 + 1000Q. Compare the profit that results from charging this client a single (profit-maximizing) per-unit price with the profit that results from charging $1,450 for the first 10 units and $1,225 for each additional unit of software purchased.

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erin l.