Sports Economics Typically Looks at Winning Percentages of Sports Teams

Sports economics typically looks at winning percentages of sports teams as one of
various outputs, and estimates production functions by analyzing the relationship
between the winning percentage and inputs.In Major League Baseball (MLB), the
determinants of winning are quality pitching and batting.All 30 MLB teams for the 1999
season.Pitching quality is approximated by "Team Earned Run Average" (ERA), and
hitting quality by "On Base Plus Slugging Percentage" (OPS). Summary of the Distribution of Winning Percentage, On Base Plus Slugging Percentage, and Team Earned Run Average for MLB in 1999


Your regression output is:
$$\begin{aligned}\widehat { \text { Winpct } = } = & - 0.19 - 0.099 \times \text { teamera } + 1.490 \times \text { ops } , R ^ { 2 } = 0.92 , \text { SER } = 0.02 . \\& ( 0.08 ) ( 0.008 ) \quad\quad\quad\quad\quad\quad\quad ( 0.126 )\end{aligned}$$ (a)Interpret the regression.Are the results statistically significant and important?