Given the regression output below, what is the linear equation? call: Im(formula - sales - spend, data - dataset) Residuals: Min 1Q Median 3Q 258 1726 мах -3385 -2097 з034 coefficients: Estimate std. Error t value Pr(>[t|) (Intercept) 1383.4714 1255. 2404 1.102 0.296 0.1625 65. 378 1.71e-14 *** Spend 10. 6222 signif. codes: 0 ***** 0.001 ***' 0.01 **' 0.05 '.' 0.1 ·'1 Residual standard error: 2313 on 10 degrees of freedom Multiple R-squared: 0.9977, Adjusted R-squared: 0.9974 F-statistic: 4274 on 1 and 10 DF, p-value: 1.707e-14 Sales = 1,383 + (10.6 * Spend) Sales = 1,255 + (0.16 * Spend) Spend = 1,255 + (0.16 * Sales) O Spend = 1,383 + (10.6 * Sales)

MATLAB: An Introduction with Applications
6th Edition
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Author:Amos Gilat
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Given the regression output below, what is the linear equation?
call:
Im(formula = Sales - spend, data = dataset)
Residuals:
Min
-3385 -2097
1Q Median
30
258 1726
мах
3034
coefficients:
(Intercept) 1383.4714 1255. 2404
spend
Estimate std. Error t value Pr(>[t|)
0. 296
0.1625 65.378 1.71e-14 ***
1.102
10. 6222
signif. codes: 0 ***** 0.001 ***' 0.01 *' 0.05 '.' 0.1''1
Residual standard error: 2313 on 10 degrees of freedom
Multiple R-squared: 0.9977, Adjusted R-squared: 0.9974
F-statistic: 4274 on 1 and 10 DF, p-value: 1.707e-14
Sales = 1,383 + (10.6 * Spend)
Sales = 1,255 + (0.16 * Spend)
Spend = 1,255 + (0.16 * Sales)
O Spend = 1,383 + (10.6 * Sales)
Transcribed Image Text:Given the regression output below, what is the linear equation? call: Im(formula = Sales - spend, data = dataset) Residuals: Min -3385 -2097 1Q Median 30 258 1726 мах 3034 coefficients: (Intercept) 1383.4714 1255. 2404 spend Estimate std. Error t value Pr(>[t|) 0. 296 0.1625 65.378 1.71e-14 *** 1.102 10. 6222 signif. codes: 0 ***** 0.001 ***' 0.01 *' 0.05 '.' 0.1''1 Residual standard error: 2313 on 10 degrees of freedom Multiple R-squared: 0.9977, Adjusted R-squared: 0.9974 F-statistic: 4274 on 1 and 10 DF, p-value: 1.707e-14 Sales = 1,383 + (10.6 * Spend) Sales = 1,255 + (0.16 * Spend) Spend = 1,255 + (0.16 * Sales) O Spend = 1,383 + (10.6 * Sales)
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