Subclinical mastitis causes great losses to dairy producers because cases are often undetected. The objective of this study was to evaluate associations in neck and leg activity, feeding time, lying time, rumination time, reticulorumen temperature, and milk yield, lactose, protein, and fat and subclinical mastitis events. This study was conducted with 154 cows at the University of Kentucky dairy from May 8 to September 11, 2015. Twice weekly composite milk samples were obtained for each cow to determine SCC. Subclinical mastitis was defined as SCC >200,000 cells/mL. Bacteriological evaluation of individual quarter samples was conducted one milking later. Pathogen was analyzed separately as: gram-positive and negative mixed (NPMIX, n = 66), gram-positive (GPOS, n = 148), no growth or contaminant (NOGROW, n = 140), versus no subclinical mastitis (n = 3,553). Generalized estimating equations using logit link function was used to account for repeated measures from the same cow. Variables with P < 0.10 in the univariable models were included in the multivariable models. Lactose, protein, electrical conductivity, DIM, rumination time, lying time, and number of lying bouts were included in the NPMIX multivariable model. Lactose, protein, electrical conductivity, DIM, reticulorumen temperature, activity, lying time, and number of steps were included in the GPOS model. Lactose, fat, milking order, DIM, activity, feeding time, rumination time, and parity were included in the NOGROW model. Variables with P > 0.04 in the multivariate models were eliminated through backward elimination. However, no variables in any multivariable model were significant. The ideal combination of variables to predict subclinical mastitis were not found.