Maximum amount that can be spent on advertising at the sale level of 22000 units if a net profit of 100000 is to be achieved.
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The profit p(x) of a cosmetics company , in thousands of dollars,is given by p(x)=-5x^2+400x-2550, where x is the amount spent on advertising , in thousands of dollarsa) determine the max profit the company can makeb)Determine the amount spent on advertising that will result in the max profitc)What amount must be spent on advertising to obtain a profit of at least $4 000 000
You want to investigate whether or not the amount of money spent in advertising (in millions of dollars) has an effect on sales (millions of units). You gather the following data: Advertising Sales Mean Standard Deviation Correlation coeft 124.80 90.61 14.40 5.50 0.88 Which is the explanatory variable? YOU want to investigate whether or not the amount of money spent i millions of dollars) has an effect on sales (millions of units). You gathe data: Sales 22 10 Advertising 230...
Advertising. Sound Software estimates that it will sell N units of a program after spending a dollars on advertising, where and a is in thousands of dollars. Find the maximum number of units that can be sold and the amount that must be spent on advertising in order to achieve that maximum.
Let R(x) represent revenue, in thousands of dollars, and x represent the amount spent on advertising, in thousands of dollars. Find the following for R(x) = -x +36x² + 1000, O SXS 17. (a) Find R''(x). (b) Find the point of diminishing returns. (a) R''(x) = Find the point of diminishing returns (x,y) for the function R(x), where R(x) represents revenue (in thousands of dollars) and x represents the amount spent on advertising in thousands of dollars). R(x) = 10,000...
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant positive linear correlation between advertising cost and profit. Use a significance level of 0.06 and round all values to 4 decimal places. Advertising Cost Profit 3 17 4 24 5 25 6 18 7 29 8 23 9 28 10 34 11 35 R vector x values: 3,4,5,6,7,8,9,10,11 R vector y values:...
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant positive linear correlation between advertising cost and profit. Use a significance level of 0.01 and round all values to 4 decimal places. Advertising Cost Profit 3 23 4 18 5 18 6 28 7 28 8 23 Ho: p=0 Ha: p > 0 Find the Linear Correlation Coefficient Find the p-value p-value-...
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant positive linear correlation between advertising cost and profit . Use a significance level of 0.05 and round all values to 4 decimal places. Advertising Cost Profit 3 14 4 17 5 20 6 27 7 17 8 31 9 27 Ho: ρ = 0 Ha: ρ > 0 Find the Linear Correlation...
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant positive linear correlation between advertising cost and profit . Use a significance level of 0.05 and round all values to 4 decimal places. Advertising Cost Profit 3 19 4 27 5 23 6 30 7 17 8 24 9 20 Ho: ρ = 0 Ha: ρ > 0 a. Find the Linear...
The manufacturer of a light fixture believes that the dollars spent on advertising, the price of the fixture and the number of retail stores selling the fixture in a particular month influence the light fixture sales. The manufacturer randomly selects 10 months and performs a regression analysis - part of the output appears below. The sales are in thousands of units per month, the advertising is given in hundreds of dollars per month, the price is the unit retail price...
13. Selling price and the amount spent on advertising were entered into a multiple regression to determine what affects flat panel LCD TV sales. Using the output below, which statement(s) is(are) correct? Analysis of Variance Source Regression Error Total (Adj) Ss 16477.3 3038.0 19515.4 DF MS 8238.7 112.5 27 29 I. The F statistic to determine the overall significance of the estimated multiple regression model is 73.23 II. The multiple regression model is overall significant. III. It is not appropriate...