The P value is what can XX XXXX to XXXXXXXXX whether we can XXXXXX the null hypothesis. The value XXXXXX XX XXX probability that XXX XXXXXXX XXXXX XX found when our XXXX hypothesis is correct. This means a XXXXXXX P value shows XX XXXXXX XXXXXXXX to XXXXXXX our XXXXXXXXXXX XXXXXXXXXX and XXX XXXXXXXXXXX XX statistically significant XXXX it XXXXX XXXX our XXXXXXXXX XXXXXX XXXXX XXX XXXXXXXXXXXX level.
XXXXXX XXXXXXXX shows XXX XXXXXXXX XXX data XXXXXXXXX of XXX variables XXXX to overlap and how much XXX amount XX XXXXXXXX in XXX variable XXXXXXXX the XXXXXXXX in XXXXXXX. XXXXXXX XXX XXXXXX variance helps XX clarify the relationship between the XXX variables XX it defines how much the dependent XXXXXXXX XX actually XXXXXXXX. When evaluating XXX correlation after rejecting the null, XXXXXXXXXXXXX how XXXX XXX XXXXXXXXXXX XXXXXXXXX XXXXXXXX XXXXXXX XXX dependent XX beneficial in XXXXXXXXXXX XXX XXXX XXXXXXXXXXXX XXX meaning. XXX XXXXXXX, a XXXXXXXXXXX XXXXXXXXXXX XX 0.X has a XXXXXX variance of 0.XX but an r XXXXX of 0.X has XXXXXX XXXXXXXX of X.XX XXXXXXX XXXX 64% XX XXX XXXXXXXX is XXXXXXXXX by the variable. The significance XX XXXX difference in XXXXXXXXXXX XXX meaning XX the relationship XX only effectively analyzed XXXX we XXXX at the shared variance XXX XXXXXXXXX how XXXX one XXXXXXXX XXXXXXX is XXXXXXXXXX for XXX other.