This document discusses regression analysis and statistical modeling. It explains the concept of linear regression, where the relationship between a dependent variable and one or more independent variables is modeled using a linear equation. Linear regression finds the line of best fit for the data and measures how well that line represents the relationship between the variables. The document also introduces the key terms in linear regression models like the slope, y-intercept, variance, and standard error.
Join TIBCO Loyalty Lab for a webinar on-demand addressing how to influence and monetize brand engagement through social interactions:
- Integrating social activity into existing reward structures
- Shifting from rewarding transactions to rewarding engagement
- Embedding a brand within the social channel
- Extending of customer understanding through social profiling
- Increasing engagement through social interactions.
Learn how to turn the promise of social loyalty into a results-producing reality. Listen to the webinar here: http://forms.loyaltylab.com/webinar_ssl
Join TIBCO Loyalty Lab for a webinar on-demand addressing how to influence and monetize brand engagement through social interactions:
- Integrating social activity into existing reward structures
- Shifting from rewarding transactions to rewarding engagement
- Embedding a brand within the social channel
- Extending of customer understanding through social profiling
- Increasing engagement through social interactions.
Learn how to turn the promise of social loyalty into a results-producing reality. Listen to the webinar here: http://forms.loyaltylab.com/webinar_ssl