A manufacturing company wishes to understand the relationship between monthly costs ($) and total unit production. A regression was performed and the results are shown below. Regression Statistics Multiple R 0.857856851 R Square 0.735918377 Adjusted R. 0.728151271 Square Standard Error 76.80712796 Observations 36 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept Cost -413.2791876 104.236756 -3.964812446 0.000358145-625.1137627-201.4446125 0.024102315 0.011983497 2.011292295 0.052276026 0.048455711 -0.000251081 Read each of the following statements. Check each that is true. The coefficient of the intercept is statistically significant. The cost variable is significant at the 5% value. The cost variable is signficant at the 1% value. The cost variable is signficant at the 10% value. We can not say with 95% confidence that the slope of the regression equation is not zero