You could use your knowledge of profit and MS Excel to indicate when the local mask provider will achieve a profit of around £10.000. You could assume linearity or non-linearity when calculating profit."
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"You could use your knowledge of profit and MS Excel to indicate when the local mask provider will achieve a profit of around £10.000. You could assume linearity or non-linearity when calculating profit."
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- Seedlings of understory trees in mature tropical rainforests must survive and grow using intermittent flecks of sunlight. How does the length of exposure to these flecks of sunlight (fleck duration) affect growth? Researchers experimentally irradiated seedlings of the Southeast Asian rainforest tree with flecks of light of varying duration while maintaining the same total irradiance to all the seedlings. Below is the data. Fit a linear model to the data. Tree Mean Fleck (min) Relative growth rate (mm/mm/week 1 3.4 0.013 2 3.2 0.008 3 3 0.007 4 2.7 0.005 5 2.8 0.003 6 3.2 0.003 7 2.2 0.005 8 2.2 0.003 9 2.4 0 10 4.4 0.009 11 5.1 0.01 12 6.3 0.009 13 7.3 0.009 14 6 0.016 15 5.9 0.025 16 7.1 0.021 17 8.8 0.024 18 7.4 0.019 19 7.5 0.016 20 7.5 0.014 21 7.9 0.014 a)What is the rate of change in relative growth…The file MidCity Download MidCitycontains data on 128 recent sales in Mid City. For each sale, the file shows the neighborhood (1, 2, or 3) in which the house is located, the number of offers made on the house, the square footage, whether the house is made primarily of brick, the number of bathrooms, the number of bedrooms, and the selling price. Neighborhoods 1 and 2 are more traditional neighborhoods, whereas neighborhood 3 is a newer, more prestigious neighborhood. Conduct a regression analysis to understand, estimate and interpret the square footage of houses in Mid City. Use one Excel spreadsheet labeled P2 to show your work for this problem. Home Nbhd Offers Sq Ft Brick Bedrooms Bathrooms Price 1 2 2 1790 No 2 2 228600 2 2 3 2030 No 4 2 228400 3 2 1 1740 No 3 2 229600 4 2 3 1980 No 3 2 189400 5 2 3 2130 No 3 3 239600 6 1 2 1780 No 3 2 229200 7 3 3 1830 Yes 3 3 303200 8 3 2 2160 No 4 2 301400 9 2 3 2110 No 4 2 238400 10 2 3 1730 No 3 3 208000 11 2 3 2030…Which graph used in a residual analysis provides roughly the same information as a scatterplot? What advantages does it have over a scatterplot?
- The graph shows a bivariate data set and its least squares regression line. Draw the residual plot for the same data set?Consider a linear regression model that relates school expenditures and family background to student performance in Massachusetts using 224 school districts. The response variable is the mean score on the MCAS (Massachusetts Comprehensive Assessment System) exam given in May 1998 to 10th-graders. Four explanatory variables are used: (1) STR is the student-to-teacher ratio, (2) TSAL is the average teacher’s salary, (3) INC is the median household income, and (4) SGL is the percentage of single family households. The Excel Regression output for the sample regression equation is given below. (a) What proportion of the variation in MCAS score is explained by the explanatory variables? (b) At the 5% level, are the explanatory variables jointly significant in explaining MCAS score? Explain briefly. (c) At the 5% level, which variables are individually significant at predicting MCAS score? Explain briefly. (d) Suppose a second regression model (Model 2) was generated using only…Consider a linear regression model that relates school expenditures and family background to student performance in Massachusetts using 224 school districts. The response variable is the mean score on the MCAS (Massachusetts Comprehensive Assessment System) exam given in May 1998 to 10th-graders. Four explanatory variables are used: (1) STR is the student-to-teacher ratio, (2) TSAL is the average teacher’s salary, (3) INC is the median household income, and (4) SGL is the percentage of single family households. The Excel Regression output for the sample regression equation is given below. (a) What proportion of the variation in MCAS score is explained by the explanatory variables? (b) At the 5% level, are the explanatory variables jointly significant in explaining MCAS score? Explain briefly. (c) At the 5% level, which variables are individually significant at predicting MCAS score? Explain briefly. (d) Suppose a second regression model (Model 2) was generated using only…
- Managers of an outdoor coffee stand in Coast City are examining the relationship between (hot) coffee sales and daily temperature, hoping to be able to predict a day's total coffee sales from the maximum temperature that day. The bivariate data values for the coffee sales (denoted by y, in dollars) and the maximum temperature (denoted by x, in degrees Fahrenheit) for each of randomly selected days during the past year are given below. These data are plotted in the scatter plot below. (a)For these data, temperature values that are less than the mean of the temperature values tend to be paired with coffee sales values that are ▼(Choose one) the mean of the coffee sales values. (b)According to the regression equation, for an increase of one degree in temperature, there is a corresponding ▼(Choose one) of 9.94 dollars in coffee sales. (c)From the regression equation, what is the predicted coffee sales value (in dollars) when the temperature is 74.6 degrees Fahrenheit? (Round your…Exercise 14.27 To identify high-paying jobs for people that do not like stress, the following data were collected showing the average annual salary ($1000) and the stress tolerance for a variety of occupations (Business Insider, November 8, 2013). The stress tolerance for each job is rated on a scale from 0 to 100, where a lower rating indicates less stress. Click on the datafile logo to reference the data. a. Select a scatter diagram for these data with average annual salary as the independent variable. - Select your answer -Scatter diagram 1Scatter diagram 2Scatter diagram 3Item 1 What does the scatter diagram indicate about the relationship between the two variables?- Select your answer -Positive linear relationshipNegative linear relationshipItem 2 b. Use these data to develop an estimated regression equation that can be used to predict stress tolerance given the average annual salary. Round your answers to four decimal places. = - x c. At the .05 level of…At Hard Rock’s Moscow restaurant, the manager is trying to evaluate how a new advertising campaign affects guest counts. Using data for the past 10 months (see the table), develop a least-squares regression relationship and then forecast the expected guest count when advertising is $65,000.
- Calculate the residual for the first observation in the dataset.#Original immigrant datax = c(61159, 57524,56186,52254,54884,51869,29743,39877,50086,53672,65707,73861) #Age of labor dataage_over_16 = x*0.95 #Illegal immigrant data of employede1 = age_over_16*0.65 #Illegal immigrant data of unemployede2 = age_over_16*0.04 #Illegal immigrant data of Not in the labor forcee3 = age_over_16*0.30 What linear regression model should I use in R? And how to draw the linear regression graph based on this model? Thanks.#Original immigrant datax = c(61159, 57524,56186,52254,54884,51869,29743,39877,50086,53672,65707,73861) #Age of labor dataage_over_16 = x*0.95 #Illegal immigrant data of employede1 = age_over_16*0.65 #Illegal immigrant data of unemployede2 = age_over_16*0.04 #Illegal immigrant data of Not in the labor forcee3 = age_over_16*0.30 What linear regression model should I use in R? Thanks.