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The results of a multiple regression analysis to predict the demand for snowblowers based on advertising budget and snowfall. The analysis includes the coefficients, standard error, t-statistic, and p-values. The model explains 46.11% of the total variation in demand.
Typology: Exercises
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Kurt's Hardware Store Y Year Demand (units) Advertising Snowfall (inches) 1 41 $ 4,000 82 2 38 $ 3,500 64 3 26 $ 1,800 52 4 43 $ 2,800 60 5 33 $ 3,000 58 6 30 $ 2,400 50 7 34 $ 2,600 60 8 37 $ 2,200 53 9 35 $ 2,600 65 a. Develope a multiple regression model to predict the demand for snowblowers based on the adverstising budget and the b. What percentage of the demand variations is explained by this expanded model? c. What is the predicted demand for snow blowers with and advertising budget of $2,600 and expected snowfall of 65 inch y= 35 units
The coefficient of determation R^2 is: 0. 𝑦=𝑏_0+𝑏_1 𝑥_1+𝑏2 𝑥 𝑦=17.76+0.004𝑥1+0.10𝑥
dverstising budget and the amount of snowfall. pected snowfall of 65 inches?
Promedio de los cuadrados F Valor crítico de F 51.5308003697132 2.1393011152 0.
Estadístico t Probabilidad Inferior 95% Superior 95% Inferior 95.0% 1.42358593103319 0.2138587591 -14.307144871228 49.821570111 -14. 0.689873949211902 0.5209790148 -0.0109888490909 0.0190506228 -0. 0.254905693687709 0.8089485329 -0.9492867361147 1.1582784769 -0.
Superior 95.0%