A 1 coefficient is, conversely, perfect positive linear correlation. A coefficient of -1 is perfect negative linear correlation: a straight line trending downward. It began as a light version of OMNITAB 80, a statistical analysis program by NIST, which was conceived by Joseph Hilsenrath in years 1962-1964. Joiner in conjunction with Triola Statistics company in 1972. Item 2 and Item 3 have a positive linear correlation of 0.864. Item 1 and Item 3 have a positive linear correlation of 0.867. Item 1 and Item 2 have a positive linear correlation of 0.903. In these results, all the items are highly correlated to each other. This is a value that takes a range from -1 to 1. Minitab is a statistics package developed at the Pennsylvania State University by researchers Barbara F. Key Results: Correlation matrix, Matrix plot. We conclude "there is not enough evidence at the \(\alpha\) level to conclude that there is a linear relationship in the population between the predictor x and response y. Correlation is defined numerically by a correlation coefficient. If the P-value is larger than the significance level \(\alpha\), we fail to reject the null hypothesis. We conclude "there is sufficient evidence at the\(\alpha\) level to conclude that there is a linear relationship in the population between the predictor x and response y."
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