Can you help me with the highlighted below?

The data will be a gregated to calculate the number of wins for teams in a basketball regular season between the years 1995 and 2015. year_id fran_id avg_pts avg_opp_pts avg_elo_n avg_opp_elo_n avg_pts_differential avg_elo_differential total wins 0 1995 Bucks 99.341463 103.707317 1368.604789 1497.311587 4.365854 128.706798 34 1995 Bulls 101.524390 96.695122 1569.892129 1488.199352 1.829268 81.692777 47 1995 Cavaliers 90.451220 89.829268 1542 433391 1498.848261 0.621951 43.585130 43 3 1995 Celtics 102.780488 104 658537 1431.307532 1495.936224 1.878049 64.628693 35 1995 Clippers 96.670732 105 829268 1309.053701 1517.260260 9.158537 208 206558 17 printed only the first five observations. .. Number of rows in the dataset = 618 You constructed a scatterplot of total number of wins and average points scored. You also calculated the Pearson correlation coefficient along with its P-value. Scatterplot and Correlation for the Total Number of Wins and Average Points Scored Total Number of Wins by Average Points Scored 70 60 50 40 Total Number of Wins 30 20 10 85 90 95 100 105 110 Average Points Scored Correlation between Average Points Scored and the Total Number of Wins Pearson Correlation Coefficient = 0.4777 P-value = 0.0 What do the scatterplot and the Pearson correlation coefficient tell you about the association between total number of wins and average points scored? Is the correlation coefficient statistically significant based on the P-value? Use a 1% level of significance