## 
##  Pearson's product-moment correlation
## 
## data:  Age and DigitalUse
## t = -0.30893, df = 61, p-value = 0.7584
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.2845029  0.2103005
## sample estimates:
##         cor 
## -0.03952395

## 
##  Pearson's product-moment correlation
## 
## data:  Age and Incorporation
## t = -1.1703, df = 63, p-value = 0.2463
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.3763719  0.1016530
## sample estimates:
##        cor 
## -0.1458625

## 
##  Pearson's product-moment correlation
## 
## data:  Age and Techuse
## t = -0.89865, df = 35, p-value = 0.375
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.4521926  0.1827335
## sample estimates:
##        cor 
## -0.1501774

## 
##  Pearson's product-moment correlation
## 
## data:  Age and Ease
## t = 0.16421, df = 65, p-value = 0.8701
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.2209263  0.2593032
## sample estimates:
##        cor 
## 0.02036297
## Warning: Removed 2 rows containing non-finite outside the scale range
## (`stat_boxplot()`).

##             Df Sum Sq Mean Sq F value Pr(>F)
## Knowledge    3    421   140.3   0.943  0.425
## Residuals   66   9822   148.8               
## 2 observations deleted due to missingness

## 
## Call:
## lm(formula = Clinician1 ~ DigitalUse1)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -62.366 -19.262   5.359  24.387  43.387 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept) 64.18343    7.20781   8.905 1.65e-12 ***
## DigitalUse1 -0.07571    0.14362  -0.527      0.6    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 30.73 on 59 degrees of freedom
## Multiple R-squared:  0.004688,   Adjusted R-squared:  -0.01218 
## F-statistic: 0.2779 on 1 and 59 DF,  p-value: 0.6001
## 
## Call:
## lm(formula = Researcher1 ~ DigitalUse2)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -53.432 -23.432  -7.822  21.866  59.681 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)   
## (Intercept)  22.2108     8.1490   2.726  0.00877 **
## DigitalUse2   0.3122     0.1434   2.178  0.03407 * 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 30.6 on 51 degrees of freedom
## Multiple R-squared:  0.08509,    Adjusted R-squared:  0.06715 
## F-statistic: 4.743 on 1 and 51 DF,  p-value: 0.03407

The coefficient for digital use for the research model is 0.3122. This suggests that for each unit increase in digital technology use, the estimated percent of time spent on research activities increases by 0.3122, and this coefficient is statistically significant (p-value = 0.03407)

## Warning: Removed 18 rows containing missing values or values outside the scale range
## (`geom_point()`).

##             Df Sum Sq Mean Sq F value Pr(>F)
## Knowledge    3   5302  1767.4   1.886  0.141
## Residuals   63  59036   937.1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Knowledge    3   1516   505.2   0.446  0.721
## Residuals   55  62313  1133.0

## 
## Call:
## lm(formula = Clinician5 ~ Quality)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -61.349 -23.385   6.214  27.265  46.615 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  69.6373     9.7171   7.166  1.3e-09 ***
## Quality      -0.1625     0.1467  -1.108    0.272    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 31.72 on 60 degrees of freedom
## Multiple R-squared:  0.02005,    Adjusted R-squared:  0.003721 
## F-statistic: 1.228 on 1 and 60 DF,  p-value: 0.2723
## 
## Call:
## lm(formula = Researcher6 ~ Quality6)
## 
## Residuals:
##    Min     1Q Median     3Q    Max 
## -44.39 -26.63 -11.53  31.63  59.46 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)  
## (Intercept)  31.9745    12.4656   2.565   0.0132 *
## Quality6      0.1241     0.1805   0.688   0.4948  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 33.96 on 53 degrees of freedom
## Multiple R-squared:  0.008839,   Adjusted R-squared:  -0.009862 
## F-statistic: 0.4727 on 1 and 53 DF,  p-value: 0.4948
## Warning: Removed 5 rows containing non-finite outside the scale range
## (`stat_boxplot()`).