A ___ can be used to visualize the correlation between two variables. A. pie chart B. bar graph C. line graph D. scatter plot 相关知识点: 试题来源: 解析 D。散点图可以用来可视化两个变量之间的相关性。饼图展示比例,柱状图比较类别,折线图展示趋势。反馈...
If the correlation between two variables is very high, it implies A. a cause-and-effe
Method 2 – Using the Data Analysis ToolPak to Find the Correlation Between Two Variables Steps: Go to the File tab. Choose Options in the File tab. In the Excel Options window, go to Add-ins. Choose Excel Add-ins in Manage:. Select Analysis ToolPak in Inactive Applications Add-ins. ...
FOODA new method is applied in the determination of correlation coefficient between two variables each containing random error. Using data on properties of scallop meat, the correlation coefficients estimated using the new method differed as much as 11% from those estimated using the conventional ...
If the correlation between two variables is −1.0, the scatter plot would appear along a:A. straight line running from northwest to southeast.B. straight line running from southwest to northeast.C. a curved line running from southwest to northeast. 正确答案:A 分享到: 答案解析: If the cor...
百度试题 结果1 题目A positive correlation between two variables means that as ___.相关知识点: 试题来源: 解析 答案:第一年年初 反馈 收藏
The correlation coefficient between two variables is 0.8. This indicates a A. weak positive correlation B. strong positive correlation C. weak negative correlation D. strong negative correlation 相关知识点: 试题来源: 解析 B。本题考查相关性系数的理解。相关性系数为 0.8,大于 0 且接近 1,表明是强...
The R function cor() can be used to compute the correlation coefficient between two variables, x and y. A simplified format of the function is : # x and y are numeric vectors cor(x, y, method = c("pearson", "kendall", "spearman")) - The pearson correlation method computes a parame...
A positive correlation between two variables means that as ___.A.one variable increases, the other variable increasesB.one variable increases, the other variable decreasesC.one variable decreases, the other variable stays the sameD.one variable decre
Use the functioncor.test(x,y) to analyze the correlation coefficient between two variables and to get significance level of the correlation. Three possible correlation methods using the functioncor.test(x,y): pearson, kendall, spearman Infos ...