This is a linear regression class.

You are passionately interested in the relationship between the number of Taco Bell hot sauce packets used (X) and the number of bathroom uses in a day (Y).

Based on the following summary table from R, what is the interpretation of the intercept?

Call: 1m(formula = bathroom ~ sauce_packets) Residuals: Min 1Q Median 30 Max -26.4755 -7.4388 0. 4392 7. 5295 21.9763 Coefficients: Estimate Std. Error t value pr(>|t/) (Intercept) 2.426 1. 089 2.227 0. 0282 sauce_packets 2.379 1. 004 2.369 0. 0198 # Signif. codes: 0 ' *#*' 0.001 ' #*' 0.01 '#' 0.05 ' .' 0.1 ' ' 1 Residual standard error: 10.88 on 98 degrees of freedom Multiple R-squared: 0.05417 Adjusted R-squared: 0.04452 F-statistic: 5.613 on 1 and 98 DF, p-value: 0.01979