The value of this graph as is becoming clear! Now let's consider a case in which the relationship between variables is direct, or positive. The table in Figure 1.7 presents data comparing ice cream cone sales to outdoor temperatures. When temperature increases, so do ice cream cone sales, reflecting a direct relationship. Number of Point on Temperature Cones Sold Graph 12°C 20 000 24°C 50 000 Y 32°C 70 000 Figure 1.7 lce cream cone sales relative to temperature.
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- Sketch a graph to illustarte your idea of each of the following relationships. Be sure to label both axes appropriatley. In each case explain uder what circumstances, if any, the curve should shift. 1. The amount of fertilizer added to an acre of land and the amount of corn grown on that land in one growing season 2. An automobile's horspower and it's gasoline mileage (in miles per gallon)The following graph contains four lines (A, B, C and D), each of which has a slope that is either positive, negative, zero, or infinite. Y-axisX-axisBDCA For each of the following scenarios, indicate whether the relationship between the two variables is positive or negative, as well as which line on the previous graph has a slope that reflects this type of relationship. Hint: The X-axis and Y-axis on the graph are not labeled intentionally. You need to substitute the variables from each scenario for the horizontal and vertical axis. For example, in the first scenario, X-axis should be labeled “ ice-cream" and Y-axis should be labeled "The temperature". Scenario Relationship Line As the temperature rises, the demand for ice-cream rises. Negative As the temperature rises, the demand for hot cocoa falls. Positive As the temperature falls, the demand for popsicles falls. Negative True or False: Line B has a slope of infinity.…Come up with two variables that, in your view, are related, indicate the name of these variables as well as why these variables are related; determine which variable is the dependent variable and which one is the independent variable. Draw a line graph by hand, labeling the vertical and horizontal axis consistent with your choice of variables. The line in the line graph has to represent, what, in your view, is the relationship between the two variables. Describe your graph verbally in your post (no need to upload the graph itself). Note:- • Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. • Answer completely. • You will get up vote for sure.
- I'm unsure about the two Ps in the final part of the answer. Are those both the same variable? It seemed unclear to me how and why that happened. Can you help with that really quickly?Suppose you are attempting to choose a measure of living standards within a particular region. Discuss the relative merits (pros and cons) of each of the following possible measures of living standards. Real household consumption expenditure per capita over the last 12 months (averagefor the region) Indicators of whether a household has a dirt floor, uses water from an improved source, and sends children to school (averagefor the region)which is the most preferred level of individual’s choice for public expenditure relating it with individual’s utility dependence, by considering three different groups? also draw the graph and intrepret it.
- What type of relationship would you expect between thefollowing?a. Sales of hot dogs and sales of hot dog bunsb. The price of winter coats and sales of winter coatsc. The price of personal computers and the production ofpersonal computersd. Sales of toothbrushes and sales of cat foode. The number of children in a family and the number oftoys in a family2. Represent the following data in bar graph form.For each of the following scenarios, indicate whether the relationship between the two variables is positive or negative, as well as which line on the previous graph has a slope that reflects this type of relationship. Hint: The X-axis and Y-axis on the graph are not labeled intentionally. You need to substitute the variables from each scenario for the horizontal and vertical axis. For example, in the first scenario, X-axis should be labeled “Income" and Y-axis should be labeled "Education". Relationship options: Positive, Negative Line: A, B, C, D True or False: Line A has a slope of zero.3. Rubax, a U.S. manufacturer of athletic shoes, estimates the following linear trend model for shoe sales: Qt = a+bt+c1D1+c2D2+c3D3Where, Qt = sales of athletic shoes in the t-th quartert = 1, 2, . . . . , 28 [2011(I), 2011(II), . . . . , 2017(IV)]D1 = 1 if t is quarter I (winter); 0 otherwiseD2 = 1 if t is quarter II (spring); 0 otherwiseD3 = 1 if t is quarter III (summer); 0 otherwiseThe regression analysis produces the following results: Is there sufficient statistical evidence of an upward trend in shoe sales? explain Do these data indicate a statistically significant seasonal pattern of sales for Rubax shoes? If so, what is the seasonal pattern exhibited by the data? Using the estimated forecast equation, forecast sales of Rubax shoes for 2018(III) and 2019(II).
- Suppose, as an economist, you are asked to analyze an issue unlike anything you have ever done before. Also, suppose you do not have a specific model for analyzing that issue. What should you do? Hint: What would a carpenter do in a similar situation?Football weights The Sears Cup was established in 1993to honor institutions that maintain a broad-based athleticprogram, achieving success in many sports, both men’sand women’s. Since its Division III inception in 1995, thecup has been won by Williams College in every yearexcept one. Their football team has a 85.3% winningrecord under their current coach. Why does the footballteam win so much? Is it because they’re heavier thantheir opponents? The table shows the average teamweights for selected years from 1973 to 1993.a) Fit a straight line to the relationship between Weightand Year.b) Does a straight line seem reasonable?c) Predict the average weight of the team for the year2003. Does this seem reasonable?d) What about the prediction for the year 2103? Explain.e) What about the prediction for the year 3003? Explain. Year Weight (lb) Year Weight (lb)1973 185.5 1983 192.01975 182.4 1987 196.91977 182.1 1989 202.91979 191.1 1991 206.01981 189.4 1993 198.7Question 2.A write a short note about the following variables and support your answers by giving examples for each variable: TFC: TC: VC: