2.At Sharqiya Shopping Mall, you are hired as a statistical data analyst. Your firsttask is to examine the relationship between the net worth of the profiledcustomers and the mall's yearly sales. You assert that a shopping center's saleswill increase when the number of profiled customers who live nearby increases.You wonder whether there is a linear link between the annual sales of theshopping mall as the dependent Y variable and the number of profiled customersas the numerical independent X variable. You have gathered the followinginformation from a sample of 10 cities to explore this relationship as shown inTABLE Q2:TABLE Q2: Data on profiled customers and annual sales for Sharqiyah MallProfiled CustomersAnnual Sales(RM million)(RM million)3.35.42.23.53.33.13.2a.b.Cities123456789103.55.24.65.83.06.24.76.14.9310.77.611.84.1Compute the Y-intercept (bo) and the slope (b) for the shopping mall forthe data of profiled customers and the annual sales.Develop a scatter plot by displaying the linear line for the data presented inTABLE Q2.C. Interpret the decision that Sharqiya shopping mall can make using theregression analysis results.

(a) The value of slope is obtained below as follows: From the information, given that The value of…

Answered: 2. At Sharqiya Shopping Mall, you are…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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6. Assume that the scatterplot shows the median volume and median value of used cars over the years in the UK used car market. (a) As the data are graphed, which is the independent and which is the dependent variable? (b) Why do you suppose median value and volume have been used instead of the mean? (c) Using the graph, estimate the median value of sales if the median volume of used cars sold is 2.3 million. (d) Use the equation to predict the median value of sales if the median volume of used cars sold is 2.3 million. (e) What other factors besides the price of used cars might influence the volume of used cars sold? Value = 30.97 – 1.211 Volume 40 35 30 25 20 - 15 10 - 0+ 1.5 2 2.5 Median Volume of Used Cars Sold (in millions) Median Value of Used Car Sales (in billions of pounds)
A research study was conducted at a local college collecting data on the models (brands) of cars parked in the student parking lot. This type of data collected would be considered/described as Qualitative Data or Quantitative Data?
Help please!
What would be the effect of an "outlier " on a correlation /regression analysis ? It will tend to decrease the strength of a relationship only if the relationship is direct . It will tend to increase the strength of a relationship only if the relationship is positive. It will tend to increase the strength of a relationship . It will tend to decrease the strength of a relationship .
What does a trend line of zero look like on a scatter plot and what does that mean in regards to x and y ?
Find an interesting instance where two variables are strongly correlated, but share no causal link. Explain the situation, describe the variables, and explain why it doesn't make sense for the data to be correlated.
A linear model was fit to predict weekly Sales of frozen pizza (in pounds) from the average Price ($/unit) charged by a sample of stores in a city in 39 weeks over a three -year period. The average Sales were 63, 200 pounds (SD = 10, 670 pounds), and the correlation between Price and Sales was -0.529. If the Price in a particular week was two SD higher than the mean Price, how much pizza would you predict was sold that week?
well-known multinational FMCG produces more than fifty products and sells them in the market. Out of fifty products one is mineral water for drinking purpose and supplies different size pack bottles in the market. Product manager observed that, during hot days the sale of water is more as compared to the normal days. He started the collection of data of weekly sale of water and the average weekly temperature. Product manager was interested in developing a relationship between sales and temperature; therefore, he discussed and shared the following data with you. sales 75 77 69 63 79 80 77 70 73 87 72 73 80 80 69 84 77 72 74 81 temperature 32 36 31 31 34 29 32 35 28 31 30 31 29 35 36 28 32 33 32 33 Sale is in thousand liters and temperature is in degree Celsius. Data is Normally distributed You are required to determine the following information for some concrete decision: Determine the…
2. State whether the variables described have a positive correlation, a negative correlation, or no correlation. (a) Income and SAT scores (b) Length of a person's hair and how far they sit from the screen in a movie theater. (c) Hours of exercise per week and blood pressure.
Suppose researchers at an abdominal transplant clinic are concerned about the rate of graft loss due to diabetes status prior to receiving a donor kidney. Research has shown that gender discordance, or receiving a gender from a donor of an opposite gender may increase the risk of both exposure and outcome after transplant. Assume the following tables represent the stratified analysis of the potential confounding variable. (9 points) Gender Discordance Graft Failure No Graft Failure Total Diabetes II 23 10 33 No Diabetes II 4 44 48 Total 27 54 81 Gender Concordance Graft Failure No Graft Failure Total Diabetes II 9 34 43 No Diabetes II 12 87 99 Total 21 121 142 A) Calculate the stratum specific estimates for the odds ratios in each strata. B) Observe the difference in the odds ratios. Based on observation alone, what are we likely to conclude regarding the relationship between outcome and exposure…
A study of several cities shows a positive correlation between the percent of people late to work and the amount of pollution on the roadways. Which statement is most likely true?
Answer only the requirement 2 and 3.

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