Regardless of its statistical significance, how should we interpret the estimated value of the coefficient for UNEMP?

gretl: model 1 File Edit Tests Save Graphs Analysis LaTeX = Model 1: OLS, using observations 1961-2019 (T 59) Dependent variable: PCE D coefficient std. error t-ratio p-value const PPI 2.31649 -0.0475959 1.08111 0.0472291 2.143 -1.008 0.0367 0.3181 M3 0.173205 0.0680178 2.546 0.0138 ** Recession -2.39743 0.597541 -4.012 0.0002 *** Unemp -0.183710 0.139964 -1.313 0.1950 PCE_1 0.381615 0.125448 3.042 0.0036 Mean dependent var 3.252542 S.D. dependent var 1.746855 Sum squared resid 85.52082 S.E. of regression R-squared 0.516796 Adjusted R-squared F (5, 53) 11.33692 P-value (F) Log-likelihood -94.66843 Akaike criterion Schwarz criterion 213.8021 Hannan-Quinn rho -0.179917 Durbin's h 1.270276 0.471211 1.83e-07 201.3369 206.2028 -5.168076 Excluding the constant, p-value was highest for variable 2 (PPI)