b). Fit a Linear regression by considering x as target variable and y as feature X 12 7 Options 8 12 10 14 18 10 9 13 6 9
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- A professor in the School of Business in a university polled a dozen colleagues about the number of professional meetings they attended in the past five years (x) and the number of papers they submitted to refereed journals (y) during the same period. The summary data are provided. Fit a simple linear regression model between x and y by finding out the estimates of intercept and slope. Comment on whether attending more professional meetings would result in publishing more papers. n n n = 12, x = 4, y = 12, X₁Y₁ = 320 i=1 x² = 234, i=1 The estimated regression line is y = 36.4 + (-6.10 )x. (Round to two decimal places as needed.) Comment on whether attending more professional meetings would result in publishing more papers. Let it be unclear that attending more professional meetings affects the number of published papers if the value used to make that determination is between 1 and 1. Because the of the regression equation is it would appear that attending more professional meetings ▼The following table compares the length of a rhinoceros horn (in inc Use linear regression to find the equation for the line that best fits decimal places. Write your final answer in a form of an equation y = 37 199 203 34 49 46 245 226 40 43 52 55 259 X. 187 230 268Depart only and
- Situation: The Ipod Touch has been out for two years now and a lot of data has been collected. Relevant Relationship: There is a functional relationship between Price of an IPod Touch,p and Weekly Demand,s. Below is a table of data that have been collected Price,p,($) Weekly Demand,s,(1,000s) 150 216 170 204 190 196 210 189 230 178 250 169 A.. Find the linear model that best fits this data using regression and enter the model below (for entry round the linear parameter value to nearest 0.01 and constant parameter to nearest 1) s = T(p) B. The squared correlation coefficient rʻ was Select an answer V 0.95 (note: values less than 0.95 MAY mean the model is not appropriate for making predictions) Now answer these two questions using the UNROUNDED model parameters C. What does the model predict will be the weekly demand if the price of an ipod touch is $170 ? (nearest 100) D, According to the model at what should the price be set in order to have a weekly demand of 170,500 ipod Touches? $…Situation: The Ipod Touch has been out for two years now and a lot of data has been collected.Relevant Relationship:There is a functional relationship between Price of an IPod Touch,p and Weekly Demand,s.Below is a table of data that have been collected Price,p ,($) Weekly Demand,s ,(1,000s) 150 209 170 205 190 200 210 192 230 177 250 175 A.. Find the linear model that best fits this data using regression and enter the model below(for entry round the linear parameter value to nearest 0.01 and constant parameter to nearest 1)s=T(p)= C. What does the model predict will be the weekly demand if the price of an ipod touch is $172 ? (nearest 100) can you answer these two questions6 Given the following multiple linear regression where shell (shell gas stock) price. shell = 15 - 0.5 * (interest rate) + 0.4 * (oil price) + 0.003 * (S&P500). Estimate the price of shell when the interest rate is 22, oil price is $95, and S&P500 = 4000 A.64 B. 38 C. 15 D. 12
- 7The table below show data that has been collected from different fields from various farms in a certain valley. The table contains the grams of Raspberries tested and the amount of their Vitamin C content in mg. Find a linear model that express Vitamin C content as a function of the weight of the Raspberries. grams 50 60 70 80 90 100 110 Vitamin C content in mg 9.3 14.3 18.9 23.5 27.5 31.7 36.9 A) Find the regression equation: y = places x + Round your answers to 3 decimal B) Answer the following questions using your un-rounded regression equation. If we test 140 grams of raspberries what is the expected Vitamin C content? nearest tenth) mg (round to theSuppose that the table shows the COVID-19 cases and deaths in some NCR cities during the COVID-19 surge. COVID-19 cases (X) COVID-19 deaths (Y) 820 8 560 6 470 2 onship 680 4 660 5 1100 15 c. How do you interpret the slope of the estimated simple linear regression model which describes the linear relationship between COVID-19 cases (x) and COVID-19 deaths (y)? ✓ [Select] There is an expected increase of 7 in y for every unit increase in x. There is an expected increase of 0.019 in x for every unit increase in y. There is an expected increase of 0.019 in y for every unit increase in x. There is an expected increase of 7 in x for every unit increase in y. >
- The registrar at State University believes that decreases in thenumber of freshman applications that have been experiencedare directly related to tuition increases. They have collectedthe following enrollment and tuition data for the past decade: a. Develop a linear regression model for these data andforecast the number of applications for State Universityif tuition increases to $10,000 per year and if tuition islowered to $7000 per year.b. Determine the strength of the linear relationship betweenfreshman applications and tuition using correlation. c. Describe the various planning decisions for State Univer-sity that would be affected by the forecast for freshman applications.Situation: The Ipod Touch has been out for two years now and a lot of data has been collected.Relevant Relationship:There is a functional relationship between Price of an IPod Touch,pp and Weekly Demand,ss.Below is a table of data that have been collected Price,pp,($) Weekly Demand,ss,(1,000s) 150 216 170 208 190 198 210 190 230 180 250 173 A.. Find the linear model that best fits this data using regression and enter the model below(for entry round the linear parameter value to nearest 0.01 and constant parameter to nearest 1)s=T(p)=s=T(p)= B. The squared correlation coefficient r2r2 was 0.95(note: values less than 0.95 MAY mean the model is not appropriate for making predictions)Now answer these two questions using the UNROUNDED model parametersC. What does the model predict will be the weekly demand if the price of an ipod touch is $196 ? (nearest 100) *** Use the actual equation from the regression calculator ***D. According to the model at what should the…I need the right answer to a and b.