Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation · Exercise 3

The manufacturers of a chemical used in flea collars claim that under standard test conditions each additional unit of the chemical will bring about a reduction of 5 fleas (i.e. where $X_j=\text{amount of chemical}$ and $Y_J=B_0+B_1\cdot X_J+E_J$, $H_0$: $B_1=-5$
Suppose that a test has been conducted and results from a computer include:
Intercept = 60
Slope = −4
Standard error of the regression coefficient = 1.0
Degrees of Freedom for Error = 2000
95% Confidence Interval for the slope −2.04, −5.96
Is this evidence consistent with the claim that the number of fleas is reduced at a rate of 5 fleas per unit chemical?

OpenStax, Introductory Business Statistics 2e · §13.5 Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation · Exercise 3