Multiple linear regression analysis

Conduct a linear regression with charisma and romanticism as predictors a d optimism as the outcome

charisma <- c(23, 24, 36, 38, 35, 38, 40, 42, 45, 35, 50, 56, 58, 34, 24, 35, 32, 34, 45)

romanticism <- c(34, 23, 35, 37, 38, 35, 32, 34, 39, 45, 34, 45, 50, 53, 32, 34, 38, 34, 32)

optimism <- c(24, 26, 23, 26, 31, 30, 34, 54, 42, 40, 43, 45, 36, 38, 39, 34, 23, 22, 33)


df <- data.frame(charisma, romanticism, optimism)

df


I need the beta values for all three variables

I need the f statistic

The p value

The regression square

The interpretation of the results in a vwry easy to understand way that i can apply to other regression analysis

See the lm() function.

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oh apologies. Thanks for the information