BUS 308 Week 4 Quiz\t\t\t\u00a0\t\t\tQuestion 1. The t Stat value is used to determine the statistical significance of each of the variables listed in a regression analysis.\t\t\tQuestion 2. A correlation of .90 and above is generally considered too strong to be of any practical significance.\t\t\tQuestion 3. A p-value of 9.22E-36 equals 0.00000000000000000000000000000000000922 and is less than .05\t\t\tQuestion 4. If two variables are known to be correlated, it is possible to predict the value of y (dependent variable) from an x (independent) variable.\t\t\tQuestion 5. When determining statistical significance of correlations, (as a rule of thumb), variable pairs with coefficients greater than (>) 70% are generally not very valuable for prediction purposes.\t\t\tQuestion 6. Which statement does not belong?\t\t\tQuestion 7. Pearson Correlation Coefficient is a mathematical value that shows the strength of the linear (straight line) relationship between two variables.\t\t\tQuestion 8. A regression analysis uses two distinct types of data. \u00a0The first are variables that are at least nominal level.\t\t\tQuestion 9. The ANOVA table provides the Significance of F to use to see if we reject or fail to reject the null hypothesis of no significance. The Significance of F is also known as the P-value.\t\t\tQuestion 10. When performing a regression analysis using the Regression option in Data Analysis, the input for the Y range is the independent variable (can generally control) and the input X range is for the dependent variables.\t\t\tBUS 308 Week 4 Quiz Set 2\t\t\t\u00a0\t\t\tQuestion 1. When determining statistical significance of correlations, (as a rule of thumb), variable pairs with coefficients greater than (>) 70% are generally not very valuable for prediction purposes.\t\t\tQuestion 2. A p-value of 9.22E-36 equals 0.00000000000000000000000000000000000922 and is less than .05\t\t\tQuestion 3. Pearson Correlation Coefficient is a mathematical value that shows the strength of the linear (straight line) relationship between two variables.\t\t\tQuestion 4. A Pearson correlation of +1.00 is considered a “perfect positive correlation”\ufffd. This means”\ufffd.\t\t\tQuestion 5. Spearman’s rank order correlation (rho) can be performed on ordinal or any ranked data.\t\t\tQuestion 6. The t Stat value is used to determine the statistical significance of each of the variables listed in a regression analysis.\t\t\tQuestion 7. Pearson’s Correlation requires at least interval level data.\t\t\tQuestion 8. If two variables are known to be correlated, it is possible to predict the value of y (dependent variable) from an x (independent) variable.\t\t\tQuestion 9. A correlation of .90 and above is generally considered too strong to be of any practical significance.\t\t\tQuestion 10. When looking at a regression statistics table, Multiple R displays the percent of variation in common between the dependent and all of the independent variables.\t\t\t\u00a0\t\t\tBUS 308 Week 4 Quiz Set 3\t\t\tQuestion 1. Pearson’s Correlation requires at least interval level data.\t\t\tQuestion 2. A p-value of 9.22E-36 equals 0.00000000000000000000000000000000000922 and is less than .05\t\t\tQuestion 3. When plotting variables on a scatter diagram, the variables plotted on the Y-axis is the horizontal axis and the X-axis is the vertical axis.\t\t\tQuestion 4. If two variables are known to be correlated, it is possible to predict the value of y (dependent variable) from an x (independent) variable.\t\t\tQuestion 5. When determining statistical significance of correlations, (as a rule of thumb), variable pairs with coefficients greater than (>) 70% are generally not very valuable for prediction purposes.\t\t\tQuestion 6. A correlation of .90 and above is generally considered too strong to be of any practical significance.\t\t\tQuestion 7. A Pearson correlation of +1.00 is considered a “perfect positive correlation”\ufffd. This means”\ufffd.\t\t\tQuestion 8. When looking at a regression statistics table, Multiple R displays the percent of variation in common between the dependent and all of the independent variables.\t\t\tQuestion 9. Which statement does not belong?\u00a0\t\t\tQuestion 10. The t Stat value is used to determine the statistical significance of each of the variables listed in a regression analysis.<\/p>\n","protected":false},"excerpt":{"rendered":"
BUS 308 Week 4 Quiz \u00a0 Question 1. The t Stat value is used to determine the statistical significance of each of the variables listed in a regression analysis. Question 2. A correlation of .90 and above is generally considered Read More …<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-204471","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/posts\/204471","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/comments?post=204471"}],"version-history":[{"count":0,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/posts\/204471\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/media?parent=204471"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/categories?post=204471"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/tags?post=204471"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}