One of the great joys of following a high school sports team is witnessing the constant improvement of a program that climbs the ladder and reaches the top tier with some of the best teams in the state.
Being able to watch it from the beginning can definitely be a thrill for fans. Can you imagine what it’s like for the kids?
One team that has been on the rise in recent years has been the Wildcats Competitive Cheerleading squad. Last fall, the Wildcats placed third at Regionals and fifth at states. In the winter, the team took second place at the Small School Co-Ed Division South Sectional meet and then followed up with a third place finish at states. Three members of those teams have gone on to cheer at Division 1 schools.
Now, under first-year head coach Courtney Chester and assistant Kerin O’Brien, the seeds have been planted for a growing program with 23 athletes on the roster, including 10 seniors, two juniors, eight sophomores and three freshmen: a good mix of leading upperclassmen and new youngsters who could lead the team to special heights.
They have also inspired the next wave of Wildcats cheer as they hosted 50 members of the Milton Youth Cheer program on their opening night, possibly setting the tone for future stars to arrive on campus and continue the tradition.
For four days a week, Chester, O’Brien and their team work to perfect the skills essential to competitive cheering. The stunts, the cheers, the tumbles, the flips, the red and whites have been working day in and day out to get these routines down, all while being led by the team’s four captains: Alexandria Eckardt, Ava Hunt, Norah Walsh and Madeline Troiano.
They’ve also had the benefit of practicing in an adjacent gym built solely for cheerleading, protecting them from any distractions they might share Copeland Fieldhouse, and also occasionally working with the Curry College cheer team and learning from a senior program .
Due to teaching and inspiring the youth program, working hard and improving thanks to adequate facilities, learning from an elite level varsity team and brand new leadership, everything is looking up for the MHS cheerleading team, but Chester wants her team to master techniques on all areas and not just on the mat.
For more on this story in print or online.
What is an example of a positive correlation?
A positive correlation exists when two variables move in the same direction as each other. On the same subject : 4 things you should know about Usher who was born in Dallas at the age of 44. A basic example of positive correlation is height and weight – taller people tend to be heavier and vice versa.
What is an example of a positive and negative relationship? For example, when two stocks move in the same direction, the correlation coefficient is positive. Conversely, when two stocks move in opposite directions, the correlation coefficient is negative.
What is considered positive correlation? A positive correlation is a relationship between two variables that move in tandemâ, that is, in the same direction. A positive correlation exists when one variable decreases as the other variable decreases, or one variable increases while the other increases.
What is a strong positive correlation example? Strong positive correlation: When the value of one variable increases, the value of the other variable increases in a similar manner. For example, the more hours a student studies, the higher their exam scores tend to be. Hours studied and exam results have a strong positive correlation.
What are 3 examples of correlation?
Positive correlation examples This may interest you : O-Zone: Leave it alone.
- Example 1: Height vs. Weight.
- Example 2: Temperature vs. ice cream sales.
- Example 1: Coffee consumption vs. intelligence.
- Example 2: Shoe size vs. watch movies.
What is the best example of coherence? A basic example of positive correlation is height and weight – taller people tend to be heavier and vice versa. In some cases, positive correlation exists because one variable affects the other. In other cases, the two variables are independent of each other and are influenced by a third variable.
What is a moderate negative correlation?
In general, -1.0 to -0.70 indicates a strong negative correlation, -0.50 a moderate negative correlation, and -0. On the same subject : Carolina Panthers agree to trade for Quarterback Baker Mayfield.30 a weak correlation.
What does a moderate negative correlation mean? It simply means that there is a correlation between the two variables in question, but that there is also a lot of randomness that affects one or both variables, or perhaps other variables affect the two variables in question, so the direct correlation is not strong, but it is definitely noticeable.
Is negative 0.75 a strong correlation? For example, with demographic data, we generally consider correlations above 0.75 to be relatively strong; correlations between 0.45 and 0.75 are moderate, and those below 0.45 are considered weak.